Difference between revisions of "Main Page"

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[https://www.jove.com/video/52311/do-s-don-ts-cryo-electron-microscopy-primer-on-sample-preparation Do's and don'ts on sample preparation]
 
[https://www.jove.com/video/52311/do-s-don-ts-cryo-electron-microscopy-primer-on-sample-preparation Do's and don'ts on sample preparation]
  
[http://nramm.nysbc.org/2017-workshop-lectures NRAMM Workshop 2017]
+
[http://nramm.nysbc.org/2017-workshop-lectures NRAMM Workshop 2017] [https://nccat.nysbc.org/activities/courses/nccat-spa-short-course-2022 (course slides)]
  
 
[https://www.youtube.com/user/SBGridTV/videos SBGrid videos about the programs they offer]
 
[https://www.youtube.com/user/SBGridTV/videos SBGrid videos about the programs they offer]
Line 98: Line 98:
  
 
[https://www.cellstructureatlas.org Cell atlas book by Grant Jensen and Catherine Oikonomou]
 
[https://www.cellstructureatlas.org Cell atlas book by Grant Jensen and Catherine Oikonomou]
 +
 +
[https://va.tech.purdue.edu/cryoVR/index.php Purdue CryoEM Virtual Reality Augmented Training]
 +
 +
[https://www.youtube.com/playlist?list=PLhiuGaXlZZek9D0SZk0OVtTeFVETa1sPG NCCAT Short course on Tomography]
 +
 +
[https://www.google.com/maps/d/u/0/viewer?mid=1eQ1r8BiDYfaK7D1S9EeFJEgkLggMyoaT&ll=-3.81666561775622e-14%2C-37.83892653579875&z=1 Map with CryoEM Facilities]
 +
 +
[https://www.youtube.com/playlist?list=PLhiuGaXlZZeliWnyp_wtRqPr_QkX00um7 NCCAT Single Particle Analysis short course]
 +
 +
[https://algosb2023.loria.fr/lectures/ Algorithms for Structural Bioinformatics, AlgoSB2023, Cargese]
 +
 +
[https://cryoem.world/ One world CryoEM technical talks]
  
 
=== Image formation ===
 
=== Image formation ===
Line 382: Line 394:
 
| [[2018Hettler_Charging]]
 
| [[2018Hettler_Charging]]
 
| Charging of carbon thin films
 
| Charging of carbon thin films
|-
 
 
| Paper
 
| [[2018Koeck_PhaseShift]]
 
| Design of a phase shift device
 
 
|-  
 
|-  
  
Line 437: Line 444:
 
| [[2020Tichelaar_Thick]]
 
| [[2020Tichelaar_Thick]]
 
| Effect of sample thickness on the CTF
 
| Effect of sample thickness on the CTF
 +
|-
 +
 +
| Paper
 +
| [[2020Yip_Atomic]]
 +
| Atomic resolution by monochromator and a second-generation spherical aberration corrector
 
|-  
 
|-  
  
Line 442: Line 454:
 
| [[2020Zhang_LimitsSimulated]]
 
| [[2020Zhang_LimitsSimulated]]
 
| Simulation of micrographs and 3D reconstruction for low weight proteins (14kDa)
 
| Simulation of micrographs and 3D reconstruction for low weight proteins (14kDa)
 +
|-
 +
 +
| Paper
 +
| [[2021Egerton_Inelastic]]
 +
| PSF of inelastic scattering
 +
|-
 +
 +
| Paper
 +
| [[2021Glaeser_Fading]]
 +
| Defocus-dependent Thon-ring fading
 +
|-
 +
 +
| Paper
 +
| [[2021Wieferig_Devitrification]]
 +
| Devitrification reduces beam-induced movement in cryo-EM
 +
|-
 +
 +
| Paper
 +
| [[2022Heymann_PSSNR]]
 +
| Progressive Spectral Signal-to-Noise Ratio to assess quality and radiation damage
 +
|-
 +
 +
| Paper
 +
| [[2022Dickerson_Inelastic]]
 +
| The role of inelastic scattering in thick specimens
 +
|-
 +
 +
| Paper
 +
| [[2022Kulik_TAAM]]
 +
| Theoretical 3D electron diffraction electrostatic potential maps of proteins
 +
|-
 +
 +
| Paper
 +
| [[2022Ravikumar_SideChains]]
 +
| Comparison of side-chain dispersion in protein structures determined by cryo-EM and X-ray crystallography
 +
|-
 +
 +
| Paper
 +
| [[2023Bromberg_Complex]]
 +
| CTF and Ewald sphere correction using complex-valued images
 +
|-
 +
 +
| Paper
 +
| [[2023Heymann_Ewald]]
 +
| The Ewald sphere/focus gradient does not limit the resolution of cryoEM reconstructions
 +
|-
 +
 +
| Paper
 +
| [[2023Schreiber_charge]]
 +
| Time dynamics of charge buildup
 
|-  
 
|-  
  
Line 543: Line 605:
 
| [[2019Wu_BeamShiftAndTilt]]
 
| [[2019Wu_BeamShiftAndTilt]]
 
| Fast image acquisition through beam-shift and beam tilt control
 
| Fast image acquisition through beam-shift and beam tilt control
 +
|-
 +
 +
| Paper
 +
| [[2023Seifer_RevisedSaxton]]
 +
| Revised Saxton geometry for tilt series acquisition
 
|-  
 
|-  
  
Line 694: Line 761:
 
| [[2018Arnold_Review]]
 
| [[2018Arnold_Review]]
 
| Review on sample preparation with special emphasis on microfluidic approaches
 
| Review on sample preparation with special emphasis on microfluidic approaches
 +
|-
 +
 +
| Paper
 +
| [[2018Ashtiani_femtolitre]]
 +
| Delivery of femtolitre droplets using surface acoustic wave based atomisation for cryo-EM grid preparation
 
|-
 
|-
  
Line 714: Line 786:
 
| [[2018Noble_Reducing]]
 
| [[2018Noble_Reducing]]
 
| Reducing particle adsorption
 
| Reducing particle adsorption
 +
|-
 +
 +
| Paper
 +
| [[2018Palovcak_Graphene]]
 +
| Preparation of graphene-oxide cryo-EM grids
 
|-
 
|-
  
Line 749: Line 826:
 
| [[2020Cianfrocco_Wrong]]
 
| [[2020Cianfrocco_Wrong]]
 
| What could go wrong?
 
| What could go wrong?
 +
|-
 +
 +
| Paper
 +
| [[2020Egelman_Ice]]
 +
| Problems with the ice
 +
|-
 +
 +
| Paper
 +
| [[2020Fassler_Printing]]
 +
| 3D printed cell culture grid holder
 
|-
 
|-
  
Line 761: Line 848:
 
|-
 
|-
  
|}
+
| Paper
 +
| [[2020Tan_ThroughGrid]]
 +
| Through-grid wicking enables high-speed 1 cryoEM specimen preparation
 +
|-
  
=== Automated data collection ===
+
| Paper
 +
| [[2020Yoder_TimeResolved]]
 +
| Time resolved CryoEM by light estimulation
 +
|-
  
{|
+
| Paper
 +
| [[2020Zachs_FIB]]
 +
| Automation for FIB milling
 +
|-
  
 
| Paper
 
| Paper
| [[1992Dierksen_Automatic]]
+
| [[2021Bieber_FIBET]]
| Automated data collection
+
| Sample preparation for correlative FIB milling and CryoET
|-  
+
|-
  
 
| Paper
 
| Paper
| [[1992Koster_Automatic]]
+
| [[2021Budell_TimeResolved]]
| Automated data collection
+
| Time resolved CryoEM with Spotiton
|-  
+
|-
  
 
| Paper
 
| Paper
| [[1996Fung_Automatic]]
+
| [[2021Casasanta_Microchip]]
| Automated data collection for tomography
+
| Microchip-based structure determination of low-molecular weight proteins using cryo-electron microscopy
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2001Zhang_Automatic]]
+
| [[2021Frechard_Preparation]]
| Automated data collection: AutoEM
+
| Optimization of Sample Preparation
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2003Ziese_Automatic]]
+
| [[2021Engstrom_Nitrogen]]
| Automated autofocusing
+
| Samples vitrified in boiling nitrogen
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2004Potter_Automatic]]
+
| [[2021Jagota_GoldNanoparticles]]
| Automated sample loading
+
| Gold nanoparticles to assess flexibility
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2004Zheng_Automatic]]
+
| [[2021Jiang_MoAu]]
| Automated data collection
+
| Holey Gold Films on Molybdenum Grids
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2005Lei_Automatic]]
+
| [[2021Jonaid_Liquid]]
| Automated data collection: AutoEM
+
| Liquid phase EM
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2005Suloway_Automatic]]
+
| [[2021Ki_Conformational]]
| Automated data collection: Leginon
+
| Conformational Distribution of a Small Protein with Nanoparticle-Aided CryoEM
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2007Yoshioka_RCT]]
+
| [[2021Li_detergents]]
| Automated Random Conical Tilt
+
| The effect of detergents on preferential orientations
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2011Korinek_TOM2]]
+
| [[2021Voss_Melting]]
| Automated acquisition with TOM2
+
| Rapid melting and revitrification as an approach to microsecond time-resolved cryoEM
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2015Li_UCSFImage]]
+
| [[2021Zhang_Pegylation]]
| Automated acquisition with UCSFImage
+
| Improving particle quality in cryo-EM by PEGylation
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2016Gil_Fuzzy]]
+
| [[2022Chen_Detergents]]
| Real time decisions during acquisition with neuro-fuzzy method
+
| Role of detergents in the air-water interface
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2016Liu_TiltControl]]
+
| [[2022Levitz_Chameleon]]
| Accurate control of the tilt angle for electron tomography
+
| Effects of dispense-to-plunge speed on particle concentration, complex formation, and final resolution
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2016Vargas_FoilHole]]
+
| [[2022Naydenova_Grid]]
| Determination of image quality at low magnification
+
| Integrated wafer-scale manufacturing of electron cryomicroscopy specimen supports
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2017Alewijnse_Best]]
+
| [[2022Russo_Review]]
| Best practices for managing large CryoEM facilities
+
| Review of sample preparation issues
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2017Biyani_Focus]]
+
| [[2022Scher_FIB]]
| Automatic processing of micrographs
+
| Sample preparation for FIB-SEM and Correlative microscopy
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2018Gomez_Facilities]]
+
| [[2023Basanta_Graphene]]
| Use of Scipion at facilities
+
| Fabrication of Monolayer Graphene-Coated Grids
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2018Sorzano_Gain]]
+
| [[2023Han_Sample]]
| Estimation of the DDD camera gain or residual gain
+
| Challenges in making ideal cryo-EM samples
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2019Chreifi_TiltSeries]]
+
| [[2023Liu_AirWater]]
| Rapid tilt-series acquisition for electron cryotomography
+
| Review on sample preparation techniques to deal with the air-water interface
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2019Eng_ImageCompression]]
+
| [[2023Neselu_IceThickness]]
| 3D Reconstruction from compressed images
+
| Effect of ice thickness on resolution
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2019Hamaguchi_CryoARM]]
+
| [[2023Torino_TimeResolved]]
| CryoARM data acquisition
+
| Device for the preparation of time-resolved CryoEM experiments
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2019Maluenda_Scipion]]
+
| [[2023Venien_Membrane]]
| Automated workflow processing for facilities
+
| Review on the preparation of membrane proteins
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2019Schorb_ET]]
+
| [[2023Zheng_Ultraflat]]
| Automated acquisition in Electron Tomography
+
| Uniform thin ice on ultraflat graphene grids
|-
+
|-
 +
 
 +
|}
 +
 
 +
=== Automated data collection ===
 +
 
 +
{|
  
 
| Paper
 
| Paper
| [[2019Tegunov_Warp]]
+
| [[1992Dierksen_Automatic]]
| Automatic micrograph processing with Warp
+
| Automated data collection
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Thompson_Protocol]]
+
| [[1992Koster_Automatic]]
| Protocol for EM acquisition
+
| Automated data collection
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Baxa_Facility]]
+
| [[1996Fung_Automatic]]
| Operational workflow in a facility
+
| Automated data collection for tomography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Guo_EER]]
+
| [[2001Zhang_Automatic]]
| Electron event representation for acquisition
+
| Automated data collection: AutoEM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Li_Workflow]]
+
| [[2003Ziese_Automatic]]
| Workflow for automatic reconstruction
+
| Automated autofocusing
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Sader_Facility]]
+
| [[2004Potter_Automatic]]
| Microscope installation and operation in a facility
+
| Automated sample loading
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Schenk_CryoFlare]]
+
| [[2004Zheng_Automatic]]
| CryoFlare, automatic data acquisition
+
| Automated data collection
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Weis_Acquisition]]
+
| [[2005Lei_Automatic]]
| Suggestions for high-quality and high-throughput acquisition
+
| Automated data collection: AutoEM
 
|-  
 
|-  
 
|}
 
 
== Single particles ==
 
 
=== Automatic particle picking ===
 
 
{|
 
  
 
| Paper
 
| Paper
| [[1982VanHeel_Detection]]
+
| [[2005Suloway_Automatic]]
| Detection of particles in micrographs
+
| Automated data collection: Leginon
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2001Nicholson_Review]]
+
| [[2007Yoshioka_RCT]]
| Review on automatic particle picking
+
| Automated Random Conical Tilt
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2001Zhu_Filaments]]
+
| [[2011Korinek_TOM2]]
| Automatic identification of filaments in micrographs
+
| Automated acquisition with TOM2
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Sigworth_Detection]]
+
| [[2015Li_UCSFImage]]
| Classical detection theory and the cryo-EM particle selection problem
+
| Automated acquisition with UCSFImage
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Volkmann_ParticlePicking]]
+
| [[2016Gil_Fuzzy]]
| An approach to automated particle picking from electron micrographs based on reduced representation templates
+
| Real time decisions during acquisition with neuro-fuzzy method
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Wong_ParticlePicking]]
+
| [[2016Liu_TiltControl]]
| Model-based particle picking for cryo-electron microscopy
+
| Accurate control of the tilt angle for electron tomography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Zhu_Review]]
+
| [[2016Vargas_FoilHole]]
| Review on automatic particle picking
+
| Determination of image quality at low magnification
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Chen_Signature]]
+
| [[2017Alewijnse_Best]]
| Automatic particle picking program: Signature
+
| Best practices for managing large CryoEM facilities
 
|-  
 
|-  
  
 +
| Paper
 +
| [[2017Biyani_Focus]]
 +
| Automatic processing of micrographs
 +
|-
  
 
| Paper
 
| Paper
| [[2007Woolford_SwarmPS]]
+
| [[2018Gomez_Facilities]]
| Automatic particle picking with several criteria, implemented in EMAN Boxer
+
| Use of Scipion at facilities
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2009Sorzano_MachineLearning]]
+
| [[2018Sorzano_Gain]]
| Automatic particle picking based on machine learning of rotational invariants
+
| Estimation of the DDD camera gain or residual gain
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2011Arbelaez_Comparison]]
+
| [[2019Chreifi_TiltSeries]]
| Evaluation of the performance of software for automated particle-boxing
+
| Rapid tilt-series acquisition for electron cryotomography
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Abrishami_MachineLearning]]
+
| [[2019Eng_ImageCompression]]
| A pattern matching approach to the automatic selection of particles from low-contrast electron micrographs
+
| 3D Reconstruction from compressed images
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Hauer_2013]]
+
| [[2019Eisenstein_FISE]]
| Automatic tilt pair detection in Random Conical Tilt
+
| Improved applicability and robustness of fast cryo-electron tomography data acquisition
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Hoang_ParallelGPUPicking]]
+
| [[2019Hamaguchi_CryoARM]]
| Parallel GPU-accelerated particle picking
+
| CryoARM data acquisition
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Shatsky_ParticlePicking]]
+
| [[2019Maluenda_Scipion]]
| Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs
+
| Automated workflow processing for facilities
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Vargas_ParticleQuality]]
+
| [[2019Schorb_ET]]
| Automatic determination of particle quality
+
| Automated acquisition in Electron Tomography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Langlois_ParticlePicking]]
+
| [[2019Tegunov_Warp]]
| Automatic particle picking
+
| Automatic micrograph processing with Warp
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Scheres_SemiAutoPicking]]
+
| [[2019Thompson_Protocol]]
| Semi-automated selection of cryo-EM particles
+
| Protocol for EM acquisition
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Vilas_AutomaticTilt]]
+
| [[2020Baxa_Facility]]
| Automatic identification of image pairs in untilted-tilted micrograph pairs
+
| Operational workflow in a facility
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Wang_DeepPicker]]
+
| [[2020Guo_EER]]
| A deep learning approach for fully automated particle picking
+
| Electron event representation for acquisition
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Zhu_DeepEM]]
+
| [[2020Li_Workflow]]
| Deep learning approach to picking
+
| Workflow for automatic reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Huber_Helices]]
+
| [[2020Sader_Facility]]
| Automated tracing of helices
+
| Microscope installation and operation in a facility
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Heimowitz_ApplePicker]]
+
| [[2020Schenk_CryoFlare]]
| Automated particle picking
+
| CryoFlare, automatic data acquisition
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Sanchez_DeepConsensus]]
+
| [[2020Stabrin_Transphire]]
| Deep learning consensus of multiple automatic pickers
+
| TranSPHIRE: Automated and feedback-optimized on-the-fly processing for cryo-EM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Alazzawi_Clustering]]
+
| [[2020Yokoyama_Good]]
| Use of clustering algorithms to find particles in micrographs
+
| Deep learning for determining good regions in a grid
 
|-  
 
|-  
 +
  
 
| Paper
 
| Paper
| [[2019Bepler_Topaz]]
+
| [[2020Weis_Acquisition]]
| Deep learning for particle picking
+
| Suggestions for high-quality and high-throughput acquisition
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Carrasco_IP]]
+
| [[2021Feathers_Superresolution]]
| Use of standard image processing for particle picking
+
| Effects of superresolution and magnification on final resolution
 
|-  
 
|-  
  
| Conference
+
| Paper
| [[2019Li_Deep]]
+
| [[2021Bouvette_Bisect]]
| Deep learning for particle picking without box size
+
| Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Wagner_Cryolo]]
+
| [[2021Chreifi_FISE]]
| Deep learning for particle picking
+
| Rapid tilt-series method for cryo-electron tomography: Characterizing stage behavior during FISE acquisition
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Wang_Biobjective]]
+
| [[2021Efremov_ComaCorrected]]
| Biobjective function for robust signal detection
+
| Coma-corrected rapid single-particle cryo-EM data collection on the CRYO ARM 300
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Zhang_Pixer]]
+
| [[2021Herzik_Setup]]
| Deep learning for particle picking
+
| Setup for parallel illumination
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Sanchez_Cleaner]]
+
| [[2021Kayama_Multipurpose]]
| Deep learning for removing particles from the carbon edges, aggregations, contaminations, ...
+
| Below 3 Å structure of apoferritin using a multipurpose TEM with a side entry cryoholder
 
|-  
 
|-  
  
|}
+
| Paper
 
+
| [[2021Lane_NegativeBias]]
=== 2D Preprocessing ===
+
| Negative potential bias for faster imaging
 
+
|-
{|
 
  
 
| Paper
 
| Paper
| [[1978Carrascosa_matching]]
+
| [[2021Rheinberger_IceThickness]]
| Gray values matching by linear transformations
+
| Scripts to measure ice thickness
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Rosenthal_DPR]]
+
| [[2021Yang_CRIM]]
| Contrast enhancement through DPR
+
| Computer readable image markers (CRIM) for correlative microscopy
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Sorzano_Normalization]]
+
| [[2021Weis_Strategies]]
| Normalization procedures and their statistical properties.
+
| Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Sorzano_Denoising]]
+
| [[2021Wypych_gP2S]]
| Strong denoising in wavelet space
+
| LIMS of microscope sessions
 
|-  
 
|-  
  
| Conference
+
| Paper
| [[2009Sorzano_Downsampling]]
+
| [[2021Yang_CLEM]]
| Differences between the different downsampling schemes
+
| Automated correlative microscopy
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Brilot_Movies]]
+
| [[2021Yonekura_Hole]]
| Alignment of beam induced motion in direct detectors
+
| Automated hole detection using YOLO
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Campbell_Movies]]
+
| [[2022Bepler_Smart]]
| Alignment of beam induced motion in direct detectors
+
| Smart data collection
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Zhao_Denoising]]
+
| [[2022Bouvette_SmartScope]]
| Denoising using an invariant Fourier-Bessel eigenspace
+
| SmartScope
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Norousi_Screening]]
+
| [[2022Flutty_bits]]
| Screening particles to identify outliers
+
| Bit-precision for SPA and ET
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Bai_ElectronCounting]]
+
| [[2022Hagen_Screening]]
| Electron counting and beam induced motion correction
+
| Screening of ice thickness using energy filter-based plasmon imaging
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Li_ElectronCounting]]
+
| [[2022Hohle_Ice]]
| Electron counting and beam induced motion correction
+
| Screening of ice thickness using interferometry
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Shigematsu_Movies]]
+
| [[2022Peck_200]]
| Drift correction for movies considering dark field
+
| High-speed high-resolution data collection on a 200 keV cryo-TEM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Vargas_ParticleQuality]]
+
| [[2022Peck_Montage]]
| Automatic determination of particle quality
+
| Montage electron tomography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Scheres_Movies]]
+
| [[2022Zhu_ElectronCounting]]
| Beam induced motion correction
+
| New algorithm for electron counting at the microscope
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Abrishami_Movies]]
+
| [[2023Cheng_Leginon]]
| Alignment of direct detection device micrographs
+
| Smart data collection with Leginon
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Grant_Anisotropic]]
+
| [[2023Kim_Ptolemy]]
| Automatic estimation and correction of anisotropic magnification
+
| Smart data collection with Ptolemy
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Grant_OptimalExposure]]
+
| [[2023Last_Ice]]
| Filter movies according to the radiation damage
+
| Measuring the ice thickness with an optical device and a neural network
 
|-  
 
|-  
 +
 +
|}
 +
 +
== Single particles ==
 +
 +
=== Automatic particle picking ===
 +
 +
{|
  
 
| Paper
 
| Paper
| [[2015Rubinstein_Alignment]]
+
| [[1982VanHeel_Detection]]
| Frame alignment at the level of particle
+
| Detection of particles in micrographs
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Spear_DoseCompensation]]
+
| [[2001Nicholson_Review]]
| Effect of dose compensation on resolution
+
| Review on automatic particle picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Zhao_AnisotropicMagnification]]
+
| [[2001Zhu_Filaments]]
| Correction of anisotropic magnification
+
| Automatic identification of filaments in micrographs
 
|-  
 
|-  
  
| Conference
+
| Paper
| [[2016Bajic_Denoising]]
+
| [[2004Sigworth_Detection]]
| Denoising and deconvolution of micrographs
+
| Classical detection theory and the cryo-EM particle selection problem
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Jensen_RemovalVesicles]]
+
| [[2004Volkmann_ParticlePicking]]
| Removal of vesicles in membrane proteins
+
| An approach to automated particle picking from electron micrographs based on reduced representation templates
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Bhamre_Denoising]]
+
| [[2004Wong_ParticlePicking]]
| Denoising by 2D covariance estimation
+
| Model-based particle picking for cryo-electron microscopy
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Berndsen_EMPH]]
+
| [[2004Zhu_Review]]
| Automated hole masking algorithm
+
| Review on automatic particle picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017McLeod_Zorro]]
+
| [[2007Chen_Signature]]
| Movie alignment by Zorro
+
| Automatic particle picking program: Signature
 
|-  
 
|-  
 +
  
 
| Paper
 
| Paper
| [[2017Zheng_MotionCorr2]]
+
| [[2007Woolford_SwarmPS]]
| Movie alignment by MotionCorr2
+
| Automatic particle picking with several criteria, implemented in EMAN Boxer
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Ouyang_Denoising]]
+
| [[2009Sorzano_MachineLearning]]
| Denoising based on geodesic distance
+
| Automatic particle picking based on machine learning of rotational invariants
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Wu_ContrastEnhancement]]
+
| [[2011Arbelaez_Comparison]]
| Contrast enhancement
+
| Evaluation of the performance of software for automated particle-boxing
|-  
+
|-
 +
 
 +
| Paper
 +
| [[2013Abrishami_MachineLearning]]
 +
| A pattern matching approach to the automatic selection of particles from low-contrast electron micrographs
 +
|-
  
 
| Paper
 
| Paper
| [[2019Zivanov_BayesianBIM]]
+
| [[2013Hauer_2013]]
| Bayesian correction of beam induced movement
+
| Automatic tilt pair detection in Random Conical Tilt
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2020Chung_Prepro]]
+
| [[2013Hoang_ParallelGPUPicking]]
| Preprocessing of particles for better alignment
+
| Parallel GPU-accelerated particle picking
|-  
+
|-
  
| Conference
+
| Paper
| [[2020Huang_SuperResolution]]
+
| [[2013Shatsky_ParticlePicking]]
| Deep learning superresolution combination of frames
+
| Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2020Palovcak_noise2noise]]
+
| [[2013Vargas_ParticleQuality]]
| Noise2noise denoising of micrographs
+
| Automatic determination of particle quality
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Strelak_FlexAlign]]
+
| [[2014Langlois_ParticlePicking]]
| Continuous deformation model for aligning movie frames
+
| Automatic particle picking
 
|-  
 
|-  
 
|}
 
 
=== 2D Alignment ===
 
 
{|
 
  
 
| Paper
 
| Paper
| [[1981Frank_Averaging]]
+
| [[2015Scheres_SemiAutoPicking]]
| 2D averaging and phase residual
+
| Semi-automated selection of cryo-EM particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1982Saxton_Averaging]]
+
| [[2016Vilas_AutomaticTilt]]
| 2D averaging using correlation
+
| Automatic identification of image pairs in untilted-tilted micrograph pairs
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1998Sigworth_ML2D]]
+
| [[2016Wang_DeepPicker]]
| Maximum likelihood alignment in 2D
+
| A deep learning approach for fully automated particle picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Cong_FRM2D]]
+
| [[2017Rickgauer_Detection]]
| Fast Rotational Matching in 2D
+
| Picking by correlation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Cong_FRM2D]]
+
| [[2017Zhu_DeepEM]]
| Fast Rotational Matching in 2D introduced in a 3D Alignment algorithm
+
| Deep learning approach to picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Scheres_ML2D]]
+
| [[2018Huber_Helices]]
| Multireference alignment and classification in 2D
+
| Automated tracing of helices
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Aguerrebere_Limits]]
+
| [[2018Heimowitz_ApplePicker]]
| Fundamental limits of 2D translational alignment
+
| Automated particle picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Sorzano_CL2D]]
+
| [[2018Sanchez_DeepConsensus]]
| Multireference alignment and classification in 2D
+
| Deep learning consensus of multiple automatic pickers
 
|-  
 
|-  
  
| Conference
+
| Paper
| [[2017Anoshina_Correlation]]
+
| [[2019Alazzawi_Clustering]]
| New correlation measure for aligning images
+
| Use of clustering algorithms to find particles in micrographs
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Radermacher_Correlation]]
+
| [[2019Bepler_Topaz]]
| On the properties of cross correlation for the alignment of images
+
| Deep learning for particle picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Lederman_representation]]
+
| [[2019Carrasco_IP]]
| A representation theory perspective of alignment and classification
+
| Use of standard image processing for particle picking
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2020Marshall_Invariants]]
+
| [[2019Li_Deep]]
| Recovery of an image from its invariants
+
| Deep learning for particle picking without box size
 
|-  
 
|-  
 
|}
 
 
=== 2D Classification and clustering ===
 
 
{|
 
  
 
| Paper
 
| Paper
| [[1981VanHeel_MSA]]
+
| [[2019Wagner_Cryolo]]
| Multivariate Statistical Analysis
+
| Deep learning for particle picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1984VanHeel_MSA]]
+
| [[2019Wang_Biobjective]]
| Multivariate Statistical Analysis
+
| Biobjective function for robust signal detection
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Scheres_ML2D]]
+
| [[2019Zhang_Pixer]]
| Multireference alignment and classification in 2D
+
| Deep learning for particle picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Sorzano_CL2D]]
+
| [[2020Sanchez_Cleaner]]
| Multireference alignment and classification in 2D
+
| Deep learning for removing particles from the carbon edges, aggregations, contaminations, ...
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2011Singer_DiffusionMaps]]
+
| [[2021Li_PickerOptimizers]]
| Classification in 2D based on graph analysis of the projections
+
| Removal of badly picked particles with Deep Learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Yang_ISAC]]
+
| [[2021Ohashi_GRIPS]]
| Iterative Stable Alignment and clustering
+
| Two-pass picking with GRIPS
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Sorzano_Outlier]]
+
| [[2022Eldar_ASOCEM]]
| Outlier detection in 2D classifications.
+
| Automatic segmentation of contaminations
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2014Zhao_Aspire]]
+
| [[2022Huang_DenoisingAndPicking]]
| Fast classification based on rotational invariants and vector diffusion maps
+
| Simultaneous denoising and picking with deep learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Huang_Robust]]
+
| [[2022Olek_Icebreaker]]
| Robust w-estimators of 2D classes
+
| Ice thickness detection and its use for particle picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Kimanius_Accelerated]]
+
| [[2022Zhang_EPicker]]
| GPU Accelerated image classification and high-resolution refinement
+
| Particle picking based on continual learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Reboul_Stochastic]]
+
| [[2023Dhakal_CryoPPP]]
| Stochastic Hill Climbing for calculating 2D classes
+
| A public database for particle picking
|-
 
 
 
| Conference
 
| [[2017Bhamre_Mahalanobis]]
 
| 2D classification using Mahalanobis distance
 
|-
 
 
 
| Paper
 
| [[2017Wu_GTM]]
 
| 2D classification using Generative Topographic Mapping
 
|-
 
 
 
| Conference
 
| [[2018Boumal_SinglePass]]
 
| Single pass classification
 
|-
 
 
 
| Conference
 
| [[2018Shuo_Network]]
 
| 2D Clustering by network metrics
 
|-
 
 
 
| Conference
 
| [[2020Miolane_VAEGAN]]
 
| 2D Analysis by deep learning
 
 
|-  
 
|-  
  
 
|}
 
|}
  
=== 3D Alignment ===
+
=== 2D Preprocessing ===
  
 
{|
 
{|
  
 
| Paper
 
| Paper
| [[1980Kam_AutoCorrelation]]
+
| [[1978Carrascosa_matching]]
| Reconstruction without angular assignment from autocorrelation function (reference free)
+
| Gray values matching by linear transformations
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1986Goncharov_CommonLines]]
+
| [[2003Rosenthal_DPR]]
| Angular assignment using common lines (reference free)
+
| Contrast enhancement through DPR
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1987VanHeel_CommonLines]]
+
| [[2004Sorzano_Normalization]]
| Angular assignment using common lines (reference free)
+
| Normalization procedures and their statistical properties.
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1988Provencher_Simultaneous]]
+
| [[2006Sorzano_Denoising]]
| Simultaneaous alignment and reconstruction
+
| Strong denoising in wavelet space
 +
|-
 +
 
 +
| Conference
 +
| [[2009Sorzano_Downsampling]]
 +
| Differences between the different downsampling schemes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1988Radermacher_RCT]]
+
| [[2012Brilot_Movies]]
| Random Conical Tilt and Single axis tilt
+
| Alignment of beam induced motion in direct detectors
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1988Vogel_Simultaneous]]
+
| [[2012Campbell_Movies]]
| Simultaneaous alignment and reconstruction
+
| Alignment of beam induced motion in direct detectors
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1990Gelfand_Moments]]
+
| [[2012Zhao_Denoising]]
| Angular assignment using moments (reference free)
+
| Denoising using an invariant Fourier-Bessel eigenspace
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1990Goncharov_Moments]]
+
| [[2013Norousi_Screening]]
| Angular assignment using moments (reference free)
+
| Screening particles to identify outliers
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1990Harauz_Quaternions]]
+
| [[2013Bai_ElectronCounting]]
| Use of quaternions to represent rotations
+
| Electron counting and beam induced motion correction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1994Penczek_Real]]
+
| [[2013Li_ElectronCounting]]
| Angular assignment using projection matching in real space
+
| Electron counting and beam induced motion correction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1994Radermacher_Radon]]
+
| [[2013Shigematsu_Movies]]
| Angular assignment in Radon space
+
| Drift correction for movies considering dark field
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1996Penczek_CommonLines]]
+
| [[2013Vargas_ParticleQuality]]
| Angular assignment using common lines (reference free)
+
| Automatic determination of particle quality
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Rosenthal_DPR]]
+
| [[2014Scheres_Movies]]
| Angular assignment using DPR
+
| Beam induced motion correction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Sorzano_Wavelet]]
+
| [[2015Abrishami_Movies]]
| Angular assignment in the wavelet space.
+
| Alignment of direct detection device micrographs
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Jonic_Splines]]
+
| [[2015Grant_Anisotropic]]
| Angular assignment in Fourier space using spline interpolation.
+
| Automatic estimation and correction of anisotropic magnification
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Yang_Simultaneous]]
+
| [[2015Grant_OptimalExposure]]
| Simultaneaous alignment and reconstruction
+
| Filter movies according to the radiation damage
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Ogura_SimulatedAnnealing]]
+
| [[2015Rubinstein_Alignment]]
| Angular asignment by simulated annealing
+
| Frame alignment at the level of particle
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Grigorieff_Continuous]]
+
| [[2015Spear_DoseCompensation]]
| Continuous angular assignment in Fourier space
+
| Effect of dose compensation on resolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Jaitly_Bayesian]]
+
| [[2015Zhao_AnisotropicMagnification]]
| Angular assignment by a Bayesian method and annealing
+
| Correction of anisotropic magnification
|-
+
|-
 +
 
 +
| Conference
 +
| [[2016Bajic_Denoising]]
 +
| Denoising and deconvolution of micrographs
 +
|-  
  
 
| Paper
 
| Paper
| [[2010Sanz_Random]]
+
| [[2016Jensen_RemovalVesicles]]
| Random model method
+
| Removal of vesicles in membrane proteins
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2010Singer_Voting]]
+
| [[2016Bhamre_Denoising]]
| Detecting consistent common lines by voting (reference free)
+
| Denoising by 2D covariance estimation
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2011Singer_SDP]]
+
| [[2017Berndsen_EMPH]]
| Angular assignment by semidefinite programming and eigenvectors (reference free)
+
| Automated hole masking algorithm
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2012Giannakis_Scattering]]
+
| [[2017McLeod_Zorro]]
| Construction of an initial volume, reference free, by graph analysis of the projections
+
| Movie alignment by Zorro
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2012Shkolnisky_Sync]]
+
| [[2017Zheng_MotionCorr2]]
| Angular assignment by synchronization of rotations (reference free)
+
| Movie alignment by MotionCorr2
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Elmlund H_PRIME]]
+
| [[2018Ouyang_Denoising]]
| PRIME: Probabilistic Initial 3D Model Generation for Single-Particle Cryo-Electron Microscopy
+
| Denoising based on geodesic distance
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Wang_LUD]]
+
| [[2018Wu_ContrastEnhancement]]
| Angular assignment by least unsquared deviations (reference free)
+
| Contrast enhancement
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2014Vargas_RANSAC]]
+
| [[2019Zivanov_BayesianBIM]]
| Initial model using RANSAC (reference free)
+
| Bayesian correction of beam induced movement
|-
 
 
 
| Paper
 
| [[2015Joubert_Pseudoatoms]]
 
| Initial model based on pseudo-atoms
 
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Singer_Kam]]
+
| [[2020Bepler_TopazDenoise]]
| Reconstruction without angular assignment from autocorrelation function (reference free)
+
| Preprocessing of micrographs for better picking
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Sorzano_Significant]]
+
| [[2020Chung_2SDR]]
| Statistical approach to the initial volume estimation (reconstruct significant)
+
| PCA to denoise particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Cossio_BayesianGPU]]
+
| [[2020Chung_Prepro]]
| GPU implementation of the Bayesian 3D reconstruction approach
+
| Preprocessing of particles for better alignment
 
|-  
 
|-  
  
 
| Conference
 
| Conference
| [[2016Michels_Heterogeneous]]
+
| [[2020Huang_SuperResolution]]
| Initial volume in the presence of heterogeneity
+
| Deep learning superresolution combination of frames
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Pragier_Graph]]
+
| [[2020Palovcak_noise2noise]]
| Graph partitioning approach to angular reconstitution
+
| Noise2noise denoising of micrographs
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Greenberg_CommonLines]]
+
| [[2020Strelak_FlexAlign]]
| Common lines for reference free ab-initio reconstruction
+
| Continuous deformation model for aligning movie frames
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2018Sorzano_Highres]]
+
| [[2021Fan_Denoising]]
| New algorithm for 3D Reconstruction and alignment with emphasis on significance
+
| Particle denoising using vector diffusion maps
 +
|-
 +
 
 +
| Paper
 +
| [[2022Heymann_ProgressiveSSNR]]
 +
| Progressive SSNR to assess quality and radiation damage
 +
|-
 +
 
 +
| Paper
 +
| [[2022Shi_Denoising]]
 +
| Contrast estimation and denoising in SPA
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Sorzano_Swarm]]
+
| [[2023Huang_ZSSR]]
| Consensus of several initial volumes by swarm optimization
+
| Multiple image super-resolution, upsampling with deep learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Zehni_Joint]]
+
| [[2023Marshall_PCA]]
| Continuous angular refinement and reconstruction
+
| Fast PCA on single particle images
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Xie_Network]]
+
| [[2023Sharon_Enhancement]]
| Angular assignment considering a network of assignments
+
| Signal enhancement of SPA particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Zehni_Joint]]
+
| [[2023Strelak_MovieAlignment]]
| Continuous angular refinement and reconstruction
+
| Comparison of movie alignment programs
 
|-  
 
|-  
  
 
|}
 
|}
  
=== 3D Reconstruction ===
+
=== 2D Alignment ===
 +
 
 
{|
 
{|
  
 
| Paper
 
| Paper
| [[1972Gilbert_SIRT]]
+
| [[1981Frank_Averaging]]
| Simultaneous Iterative Reconstruction Technique (SIRT)
+
| 2D averaging and phase residual
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1973Herman_ART]]
+
| [[1982Saxton_Averaging]]
| Algebraic Reconstruction Technique (ART)
+
| 2D averaging using correlation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1980Kam_SphericalHarmonics]]
+
| [[1998Sigworth_ML2D]]
| 3D Reconstruction using spherical harmonics
+
| Maximum likelihood alignment in 2D
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1984Andersen_SART]]
+
| [[2003Cong_FRM2D]]
| Simultaneous Algebraic Reconstruction Technique (SART)
+
| Fast Rotational Matching in 2D
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1986Harauz_FBP]]
+
| [[2005Cong_FRM2D]]
| Exact filters for Filtered Back Projection
+
| Fast Rotational Matching in 2D introduced in a 3D Alignment algorithm
|-
 
 
 
| Chapter
 
| [[1992Radermacher_WBP]]
 
| Exact filters for Weighted Back Projection
 
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1997Zhu_RecCTF]]
+
| [[2005Scheres_ML2D]]
| 3D Reconstruction (SIRT like) and simultaneous CTF correction
+
| Multireference alignment and classification in 2D
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1998Boisset_Uneven]]
+
| [[2016Aguerrebere_Limits]]
| Artifacts in SIRT and WBP under uneven angular distributions
+
| Fundamental limits of 2D translational alignment
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1998Marabini_ART]]
+
| [[2010Sorzano_CL2D]]
| Algebraic Reconstruction Technique with blobs (Xmipp)
+
| Multireference alignment and classification in 2D
 +
|-
 +
 
 +
| Conference
 +
| [[2017Anoshina_Correlation]]
 +
| New correlation measure for aligning images
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2001Sorzano_Uneven]]
+
| [[2019Radermacher_Correlation]]
| Free parameter selection under uneven angular distributions
+
| On the properties of cross correlation for the alignment of images
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Sorzano_Parameters]]
+
| [[2020Lederman_representation]]
| Free parameter selection for optimizing multiple tasks
+
| A representation theory perspective of alignment and classification
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Sorzano_Constraints]]
+
| [[2020Marshall_Invariants]]
| Mass, surface, positivity and symmetry constraints for real-space algorithms
+
| Recovery of an image from its invariants
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2009Bilbao_ParallelART]]
+
| [[2021Chen_Fast]]
| Efficient parallelization of ART
+
| Fast alignment through Power Spectrum
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2011Li_GradientFlow]]
+
| [[2021Chung_CryoRALIB]]
| Regularized 3D Reconstruction by Gradient Flow
+
| Image alignment acceleration
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2011Vonesch_Wavelets]]
+
| [[2021Heimowitz_Centering]]
| Fast wavelet-based 3D reconstruction
+
| Centering noisy images
 
|-  
 
|-  
 +
 +
|}
 +
 +
=== 2D Classification and clustering ===
 +
 +
{|
  
 
| Paper
 
| Paper
| [[2012Gopinath_ShapeRegularization]]
+
| [[1981VanHeel_MSA]]
| Regularized 3D Reconstruction by Shape information
+
| Multivariate Statistical Analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Kucukelbir_adaptiveBasis]]
+
| [[1984VanHeel_MSA]]
| 3D reconstruction in an adaptive basis promoting sparsity
+
| Multivariate Statistical Analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Sindelar_NoiseReduction]]
+
| [[2005Scheres_ML2D]]
| Optimal noise reduction in 3D reconstructions
+
| Multireference alignment and classification in 2D
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Elmlund H_PRIME]]
+
| [[2010Sorzano_CL2D]]
| PRIME: Probabilistic Initial 3D Model Generation for Single-Particle Cryo-Electron Microscopy
+
| Multireference alignment and classification in 2D
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Lyumkis_Optimod]]
+
| [[2011Singer_DiffusionMaps]]
| Construction of initial volumes with Optimod
+
| Classification in 2D based on graph analysis of the projections
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Wang FIRM]]
+
| [[2012Yang_ISAC]]
| Fast 3D reconstruction in Fourier domain
+
| Iterative Stable Alignment and clustering
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Kunz_SART_OS]]
+
| [[2014Sorzano_Outlier]]
| Simultaneous ART with OS
+
| Outlier detection in 2D classifications.
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Abrishami_Fourier]]
+
| [[2014Zhao_Aspire]]
| 3D Reconstruction in Fourier space
+
| Fast classification based on rotational invariants and vector diffusion maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Dvornek_SubspaceEM]]
+
| [[2015Huang_Robust]]
| Fast Maximum a posteriori
+
| Robust w-estimators of 2D classes
|-
 
 
 
| Conference
 
| [[2018Michels_RBF]]
 
| Ab-initio reconstruction with radial basis functions
 
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Moriya_Bayesian]]
+
| [[2016Kimanius_Accelerated]]
| Bayesian approach to suppress limited angular artifacts
+
| GPU Accelerated image classification and high-resolution refinement
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Xu_GeometricFlow]]
+
| [[2016Reboul_Stochastic]]
| Multi-scale geometric flow
+
| Stochastic Hill Climbing for calculating 2D classes
 
|-  
 
|-  
  
| Arxiv
+
| Conference
| [[2016Ye_Cohomology]]
+
| [[2017Bhamre_Mahalanobis]]
| Cohomology properties of 3D reconstruction
+
| 2D classification using Mahalanobis distance
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Punjani_CryoSPARC]]
+
| [[2017Wu_GTM]]
| CryoSPARC
+
| 2D classification using Generative Topographic Mapping
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2017Punjani_CryoSPARCTheory]]
+
| [[2018Boumal_SinglePass]]
| Theory related to CryoSPARC
+
| Single pass classification
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2017Sorzano_SurveyIterative]]
+
| [[2018Shuo_Network]]
| Survey of iterative reconstruction methods for EM
+
| 2D Clustering by network metrics
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2018Bartesaghi_Refinement]]
+
| [[2020Miolane_VAEGAN]]
| Refinement of CTF, frame weight and alignment for high resolution reconstruction
+
| 2D Analysis by deep learning
|-
 
 
 
| Paper
 
| [[2018Hu_ParticleFilter]]
 
| A particle filter framework for 3D reconstruction
 
 
|-  
 
|-  
  
 
| Conference
 
| Conference
| [[2018Levin_Kam]]
+
| [[2021Rao_Wasserstein]]
| Ab initio reconstruction by autocorrelation analysis
+
| Wasserstein K-Means for Clustering Tomographic Projections
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Reboul_Simple]]
+
| [[2022Wang_Spectral]]
| Ab initio reconstruction with Simple
+
| 2D classification with spectral clustering
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Sorzano_Highres]]
+
| [[2022Zhang_DRVAE]]
| New algorithm for 3D Reconstruction and alignment with emphasis on significance
+
| 2D classification with deep learning and K-means++
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Sorzano_Swarm]]
+
| [[2023Chen_Joint]]
| Consensus of several initial volumes by swarm optimization
+
| 2D classification with deep learning and joint unsupervised difference learning
 
|-  
 
|-  
 +
 +
|}
 +
 +
=== 3D Alignment ===
 +
 +
{|
  
 
| Paper
 
| Paper
| [[2018Zhu_Ewald]]
+
| [[1980Kam_AutoCorrelation]]
| 3D Reconstruction with Ewald sphere correction
+
| Reconstruction without angular assignment from autocorrelation function (reference free)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Gomez_Initial]]
+
| [[1986Goncharov_CommonLines]]
| Construction of initial models
+
| Angular assignment using common lines (reference free)
 
|-  
 
|-  
  
| Master
+
| Paper
| [[2019Havelkova_Regularization]]
+
| [[1987VanHeel_CommonLines]]
| Regularization methods in 3D reconstruction
+
| Angular assignment using common lines (reference free)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Wilkinson_Scales]]
+
| [[1988Provencher_Simultaneous]]
| Combining data acquired at different scales
+
| Simultaneaous alignment and reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Punjani_NonUniform]]
+
| [[1988Radermacher_RCT]]
| Non-uniform refinement
+
| Random Conical Tilt and Single axis tilt
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Ramlaul_Sidesplitter]]
+
| [[1988Vogel_Simultaneous]]
| Local filtering along the reconstruction iterations
+
| Simultaneaous alignment and reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Xie_Automatic]]
+
| [[1990Gelfand_Moments]]
| Automatic 3D reconstruction from projections
+
| Angular assignment using moments (reference free)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Zhou_AutomaticSelection]]
+
| [[1990Goncharov_Moments]]
| Automatic selection of particles for 3D reconstruction
+
| Angular assignment using moments (reference free)
 
|-  
 
|-  
 
|}
 
 
=== 3D Heterogeneity ===
 
 
{|
 
  
 
| Paper
 
| Paper
| [[2004White_Size]]
+
| [[1990Harauz_Quaternions]]
| Heterogeneity classification of differently sized images
+
| Use of quaternions to represent rotations
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Penczek_Bootstrap]]
+
| [[1994Penczek_Real]]
| 3D heterogeneity through bootstrap
+
| Angular assignment using projection matching in real space
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Leschziner_Review]]
+
| [[1994Radermacher_Radon]]
| Review of 3D heterogeneity handling algorithms
+
| Angular assignment in Radon space
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Scheres_ML3D]]
+
| [[1996Penczek_CommonLines]]
| Maximum Likelihood alignment and classification in 3D
+
| Angular assignment using common lines (reference free)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Herman_Graph]]
+
| [[2003Rosenthal_DPR]]
| Classification by graph partitioning
+
| Angular assignment using DPR
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2009Spahn_Bootstrap]]
+
| [[2004Sorzano_Wavelet]]
| 3D heterogeneity through bootstrap
+
| Angular assignment in the wavelet space.
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Elmlund_AbInitio]]
+
| [[2005Jonic_Splines]]
| Solving the initial volume problem with multiple conformations
+
| Angular assignment in Fourier space using spline interpolation.
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Shatsky_MultiVariate]]
+
| [[2005Yang_Simultaneous]]
| Multivariate Statistical Analysis
+
| Simultaneaous alignment and reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Scheres_Bayesian]]
+
| [[2006Ogura_SimulatedAnnealing]]
| A Bayesian view on cryo-EM structure determination
+
| Angular asignment by simulated annealing
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Zheng_Covariance]]
+
| [[2007Grigorieff_Continuous]]
| Estimation of the volume covariance
+
| Continuous angular assignment in Fourier space
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Wang_MLVariance]]
+
| [[2010Jaitly_Bayesian]]
| Maximum Likelihood estimate of the map variance
+
| Angular assignment by a Bayesian method and annealing
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2013Lyumkis D_FREALIGN]]
+
| [[2010Sanz_Random]]
| Likelihood-based classification of cryo-EM images using FREALIGN.
+
| Random model method
|-
+
|-
  
 
| Paper
 
| Paper
| [[2014Jin_NMA]]
+
| [[2010Singer_Voting]]
| Continuous heterogeneity through Normal Mode Analysis
+
| Detecting consistent common lines by voting (reference free)
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2014Dashti_Brownian]]
+
| [[2011Singer_SDP]]
| Continuous heterogeneity through Brownian trajectories
+
| Angular assignment by semidefinite programming and eigenvectors (reference free)
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2014Chen_Migration]]
+
| [[2012Giannakis_Scattering]]
| Particle migration analysis in 3D classification
+
| Construction of an initial volume, reference free, by graph analysis of the projections
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2015Anden_Covariance]]
+
| [[2012Shkolnisky_Sync]]
| 3D Covariance matrix estimation for heterogeneity
+
| Angular assignment by synchronization of rotations (reference free)
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2015Bai_Focused]]
+
| [[2013Elmlund H_PRIME]]
| Focused classification
+
| PRIME: Probabilistic Initial 3D Model Generation for Single-Particle Cryo-Electron Microscopy
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Katsevich_Covariance]]
+
| [[2013Wang_LUD]]
| 3D Covariance matrix estimation for heterogeneity
+
| Angular assignment by least unsquared deviations (reference free)
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2015Klaholz_MRA]]
+
| [[2014Vargas_RANSAC]]
| Multivariate Statistical Analysis of Jackknife and Bootstrapping on random subsets
+
| Initial model using RANSAC (reference free)
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2015Liao_Covariance]]
+
| [[2015Joubert_Pseudoatoms]]
| Estimation of the 3D covariance from 2D projections
+
| Initial model based on pseudo-atoms
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Tagare_Direct]]
+
| [[2015Singer_Kam]]
| Direct reconstruction of PCA components
+
| Reconstruction without angular assignment from autocorrelation function (reference free)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Gong_Mechanical]]
+
| [[2015Sorzano_Significant]]
| Mechanical model for macromolecules
+
| Statistical approach to the initial volume estimation (reconstruct significant)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Rawson_Movement]]
+
| [[2016Cossio_BayesianGPU]]
| Movement and flexibility
+
| GPU implementation of the Bayesian 3D reconstruction approach
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2016Shan_Multibody]]
+
| [[2016Michels_Heterogeneous]]
| Multibody refinement
+
| Initial volume in the presence of heterogeneity
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Sorzano_StructMap]]
+
| [[2016Pragier_Graph]]
| Sorting a discrete set of conformational states
+
| Graph partitioning approach to angular reconstitution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Sorzano_Strain]]
+
| [[2017Greenberg_CommonLines]]
| Calculate local stretches, strains and rotations from two conformational states
+
| Common lines for reference free ab-initio reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Punjani_CryoSPARC]]
+
| [[2018Sorzano_Highres]]
| CryoSPARC
+
| New algorithm for 3D Reconstruction and alignment with emphasis on significance
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Schillbach_Warpcraft]]
+
| [[2018Sorzano_Swarm]]
| Warpcraft: 3D Reconstruction in the presence of continuous heterogeneity
+
| Consensus of several initial volumes by swarm optimization
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Anden_Covariance]]
+
| [[2019Zehni_Joint]]
| Structural Variability from Noisy Tomographic Projections
+
| Continuous angular refinement and reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Haselbach_FreeEnergy]]
+
| [[2019Zehni_Joint]]
| Analysis of the free energy landscape through PCA
+
| Continuous angular refinement and reconstruction
 
|-  
 
|-  
  
| Paper
 
| [[2018Nakane_MultiBody]]
 
| Structural Variability through multi-body refinement
 
|-
 
  
 
| Paper
 
| Paper
| [[2019Serna_Review]]
+
| [[2020Sharon_NonUniformKam]]
| Review of classification tools
+
| Reconstruction and angular distribution estimation without angular assignment (reference free)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Solernou_FFEA]]
+
| [[2020Xie_Network]]
| Fluctuating Finite Element Analysis, continuum approach to Molecular Dynamics
+
| Angular assignment considering a network of assignments
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Sorzano_Review]]
+
| [[2021Jimenez_DeepAlign]]
| Review of continuous heterogeneity biophysics
+
| Angular alignment using deep learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Zhang_Local]]
+
| [[2021Kojima_Preferred]]
| Local variability and covariance
+
| Identification of preferred orientations
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2020Harastani_NMA]]
+
| [[2021Nashed_CryoPoseNet]]
| Using Scipion for analyzing local heterogeneity with normal modes
+
| CryoPoseNet: Angular alignment with deep learning
 +
|-
 +
 
 +
| Conference
 +
| [[2021Zhong_CryoDRGN2]]
 +
| CryoDRGN2: Angular alignment with deep learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Maji_Propagation]]
+
| [[2022Lu_SphericalEmbeddings]]
| Propagation of conformational coordinates across angular space
+
| Angular assignment through common lines and spherical embeddings
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Zhong_CryoDRGN]]
+
| [[2022Wang_Thunder]]
| CryoDRGN to analyze the continuous heterogeneity by CryoEM
+
| Angular assignment implementation in GPU
 
|-  
 
|-  
  
 
|}
 
|}
  
=== Validation ===
+
=== 3D Reconstruction ===
 
 
 
{|
 
{|
  
 
| Paper
 
| Paper
| [[2008Stagg_TestBed]]
+
| [[1972Gilbert_SIRT]]
| Effect of voltage, dosis, number of particles and Euler jumps on resolution
+
| Simultaneous Iterative Reconstruction Technique (SIRT)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2011Henderson]]
+
| [[1973Herman_ART]]
| Tilt Validation
+
| Algebraic Reconstruction Technique (ART)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2011Read]]
+
| [[1980Kam_SphericalHarmonics]]
| Validation of PDBs
+
| 3D Reconstruction using spherical harmonics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Henderson]]
+
| [[1984Andersen_SART]]
| EM Map Validation
+
| Simultaneous Algebraic Reconstruction Technique (SART)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Cossio_Bayesian]]
+
| [[1986Harauz_FBP]]
| EM Map Validation in a probabilistic setting
+
| Exact filters for Filtered Back Projection
 +
|-
 +
 
 +
| Chapter
 +
| [[1992Radermacher_WBP]]
 +
| Exact filters for Weighted Back Projection
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Chen_NoiseSubstitution]]
+
| [[1997Zhu_RecCTF]]
| Noise substitution at high resolution for measuring overfitting
+
| 3D Reconstruction (SIRT like) and simultaneous CTF correction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Ludtke_Validation]]
+
| [[1998Boisset_Uneven]]
| Structural validation, example of the Calcium release channel
+
| Artifacts in SIRT and WBP under uneven angular distributions
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Murray_Validation]]
+
| [[1998Marabini_ART]]
| Validation of a 3DEM structure through a particular example
+
| Algebraic Reconstruction Technique with blobs (Xmipp)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Russo_StatisticalSignificance]]
+
| [[2001Sorzano_Uneven]]
| EM Map Validation through the statistical significance of the tilt-pair angular assignment
+
| Free parameter selection under uneven angular distributions
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Stagg_Reslog]]
+
| [[2005Sorzano_Parameters]]
| EM Map Validation through the resolution evolution with the number of particles
+
| Free parameter selection for optimizing multiple tasks
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Wasilewski_Tilt]]
+
| [[2008Sorzano_Constraints]]
| Web implementation of the tilt pair validation
+
| Mass, surface, positivity and symmetry constraints for real-space algorithms
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Heymann_Alignability]]
+
| [[2009Bilbao_ParallelART]]
| EM Map Validation through the resolution of reconstructions from particles and noise
+
| Efficient parallelization of ART
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Oliveira_FreqLimited]]
+
| [[2011Li_GradientFlow]]
| Comparison of gold standard and frequency limited optimization
+
| Regularized 3D Reconstruction by Gradient Flow
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Rosenthal_Review]]
+
| [[2011Vonesch_Wavelets]]
| Review of validation methods
+
| Fast wavelet-based 3D reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Wriggers_Secondary]]
+
| [[2012Gopinath_ShapeRegularization]]
| Validation by secondary structure
+
| Regularized 3D Reconstruction by Shape information
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Degiacomi_IM]]
+
| [[2012Kucukelbir_adaptiveBasis]]
| Comparison of Ion Mobility data and EM volumes
+
| 3D reconstruction in an adaptive basis promoting sparsity
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Kim_SAXS]]
+
| [[2012Sindelar_NoiseReduction]]
| Comparison of SAXS data and EM projections
+
| Optimal noise reduction in 3D reconstructions
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Rosenthal_Review]]
+
| [[2013Elmlund H_PRIME]]
| Review of validation methods
+
| PRIME: Probabilistic Initial 3D Model Generation for Single-Particle Cryo-Electron Microscopy
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Vargas_Alignability]]
+
| [[2013Lyumkis_Optimod]]
| Validation by studying the tendency of an angular assignment to cluster in the projection space
+
| Construction of initial volumes with Optimod
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Monroe_PDBRefinement]]
+
| [[2013Wang FIRM]]
| Validation by comparison to a refined PDB
+
| Fast 3D reconstruction in Fourier domain
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Afonine_Phenix]]
+
| [[2014Kunz_SART_OS]]
| Tools in Phenix for the validation of EM maps
+
| Simultaneous ART with OS
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Heymann_Bsoft]]
+
| [[2015Abrishami_Fourier]]
| Map validation using Bsoft
+
| 3D Reconstruction in Fourier space
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Heymann_Challenge]]
+
| [[2015Dvornek_SubspaceEM]]
| A summary of the assessments of the 3D Map Challenge
+
| Fast Maximum a posteriori
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Jonic_Gaussian]]
+
| [[2015Moriya_Bayesian]]
| Assessment of sets of volumes by pseudoatomic structures
+
| Bayesian approach to suppress limited angular artifacts
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Naydenova_AngularDistribution]]
+
| [[2015Xu_GeometricFlow]]
| Evaluating the angular distribution of a 3D reconstruction
+
| Multi-scale geometric flow
 
|-  
 
|-  
  
| Paper
+
| Arxiv
| [[2018Pages_Symmetry]]
+
| [[2016Ye_Cohomology]]
| Looking for a symmetry axis in a PDB
+
| Cohomology properties of 3D reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Pintilie_SSE]]
+
| [[2017Barnett_Marching]]
| Evaluating the quality of SSE and side chains
+
| Initial volume through frequency marching
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Herzik_Multimodel]]
+
| [[2017Punjani_CryoSPARC]]
| Local and global quality by multi-model fitting
+
| CryoSPARC
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Chen_Atomic]]
+
| [[2017Punjani_CryoSPARCTheory]]
| Validation of the atomic models derived from CryoEM
+
| Theory related to CryoSPARC
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Cossio_CrossValidation]]
+
| [[2017Sorzano_SurveyIterative]]
| Need for cross validation
+
| Survey of iterative reconstruction methods for EM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Ortiz_CrossValidation]]
+
| [[2018Bartesaghi_Refinement]]
| Cross validation for SPA
+
| Refinement of CTF, frame weight and alignment for high resolution reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Sazzed_helices]]
+
| [[2018Hu_ParticleFilter]]
| Validation of helix quality
+
| A particle filter framework for 3D reconstruction
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2020Stojkovic_PTM]]
+
| [[2018Levin_Kam]]
| Validation of post-translational modifications
+
| Ab initio reconstruction by autocorrelation analysis
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2020Tiwari_PixelSize]]
+
| [[2018Michels_RBF]]
| Fine determination of the pixel size
+
| Ab-initio reconstruction with radial basis functions
 
|-  
 
|-  
  
|}
 
 
=== Resolution ===
 
 
{|
 
  
 
| Paper
 
| Paper
| [[1986Harauz_FBP]]
+
| [[2018Reboul_Simple]]
| Fourier Shell Correlation
+
| Ab initio reconstruction with Simple
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1987Unser_SSNR]]
+
| [[2018Sorzano_Highres]]
| 2D Spectral Signal to Noise Ratio
+
| New algorithm for 3D Reconstruction and alignment with emphasis on significance
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2002Penczek_SSNR]]
+
| [[2018Sorzano_Swarm]]
| 3D Spectral Signal to Noise Ratio for Fourier based algorithms
+
| Consensus of several initial volumes by swarm optimization
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Rosenthal_DPR]]
+
| [[2018Zhu_Ewald]]
| Review of the FSC and establishment of a new threshold
+
| 3D Reconstruction with Ewald sphere correction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Unser_SSNR]]
+
| [[2019Gomez_Initial]]
| 3D Spectral Signal to Noise Ratio for any kind of algorithms
+
| Construction of initial models
 
|-  
 
|-  
  
| Paper
+
| Master
| [[2005VanHeel_FSC]]
+
| [[2019Havelkova_Regularization]]
| Establishment of a new threshold for FSC
+
| Regularization methods in 3D reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Sousa_AbInitio]]
+
| [[2019Wilkinson_Scales]]
| Resolution measurement on neighbour Fourier voxels
+
| Combining data acquired at different scales
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Kucukelbir_Local]]
+
| [[2020Alazzawi_Auto]]
| Quantifying the local resolution of cryo-EM density maps
+
| Automatic full processing of micrographs to yield a 3D reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Pintilie_Probabilistic]]
+
| [[2020Pan_TV]]
| Probabilistic models and resolution
+
| 3D Reconstruction with total variation regularization
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Sorzano_FourierProperties]]
+
| [[2020Punjani_NonUniform]]
| Statistical properties of resolution measures defined in Fourier space
+
| Non-uniform refinement
 
|-  
 
|-  
  
| Conference
+
| Paper
| [[2018Avramov_DeepLearning]]
+
| [[2020Ramlaul_Sidesplitter]]
| Deep learning classification of volumes into low, medium and high resolution
+
| Local filtering along the reconstruction iterations
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Carugo_BFactors]]
+
| [[2020Xie_Automatic]]
| How large can B-factors be in protein crystals
+
| Automatic 3D reconstruction from projections
 +
|-  
 +
 
 +
| Conference
 +
| [[2020Venkatakrishnan_MBIR]]
 +
| Model based image reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Kim_FourierError]]
+
| [[2020Zhou_AutomaticSelection]]
| Comparison between a gold standard and a reconstruction
+
| Automatic selection of particles for 3D reconstruction  
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Rupp_Problems]]
+
| [[2021Abrishami_Localized]]
| Problems of resolution as a proxy number for map quality
+
| Localized reconstruction in scipion expedites the analysis of symmetry mismatches in Cryo-EM data
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Vilas_MonoRes]]
+
| [[2021Gupta_CryoGAN]]
| Local resolution by monogenic signals
+
| 3D Reconstruction via Generative Adversarial Learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Yang_Multiscale]]
+
| [[2021Luo_Opus]]
| Resolution from a multiscale spectral analysis
+
| 3D Reconstruction with a sparse and smoothness constraint
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Avramov_DeepLearning]]
+
| [[2021Kimanius_PriorKnowledge]]
| Deep learning classification of volumes into low, medium and high resolution
+
| Incorporation of prior knowledge during 3D reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Ramirez_DeepRes]]
+
| [[2021Sorzano_Uneven]]
| Resolution determination by deep learning
+
| Algorithmic robustness to uneven angular distributions
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Baldwin_Lyumkis_SCF]]
+
| [[2022Havelkova_regularization]]
| Resolution attenuation through non-uniform Fourier sampling
+
| Regularization of iterative reconstruction algorithms
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Beckers_Permutation]]
+
| [[2023Bendory_Autocorrelation]]
| Permutation tests for the FSC
+
| Initial volume through autocorrelation analysis with sparsity constraints
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Penczek_mFSC]]
+
| [[2023Herreros_ZART]]
| Modified FSC to avoid mask induced artifacts
+
| Correction of continuous heterogeneity during the 3D reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Vilas_MonoDir]]
+
| [[2023Rangan_AbInitio]]
| Local and directional resolution
+
| Robust ab initio reconstruction
 
|-  
 
|-  
  
 
|}
 
|}
  
=== Sharpening of high resolution information ===
+
=== 3D Heterogeneity ===
 +
 
 
{|
 
{|
+
 
 
| Paper
 
| Paper
| [[2003Rosenthal_DPR]]
+
| [[2004White_Size]]
| Contrast restoration and map sharpening
+
| Heterogeneity classification of differently sized images
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Fernandez_Bfactor]]
+
| [[2006Penczek_Bootstrap]]
| Bfactor determination and restoration
+
| 3D heterogeneity through bootstrap
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Fiddy_SaxtonAlgorithm]]
+
| [[2007Leschziner_Review]]
| Phase retrieval or extension
+
| Review of 3D heterogeneity handling algorithms
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Kishchenko_SphericalDeconvolution]]
+
| [[2007Scheres_ML3D]]
| Spherical deconvolution
+
| Maximum Likelihood alignment and classification in 3D
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Spiegel_VISDEM]]
+
| [[2008Herman_Graph]]
| Visualization improvement by the use of pseudoatomic profiles
+
| Classification by graph partitioning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Jonic_Pseudoatoms]]
+
| [[2009Spahn_Bootstrap]]
| Approximation with pseudoatoms
+
| 3D heterogeneity through bootstrap
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Jonic_Denoising]]
+
| [[2010Elmlund_AbInitio]]
| Denoising and high-frequency boosting by pseudoatom approximation
+
| Solving the initial volume problem with multiple conformations
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Jakobi_LocScale]]
+
| [[2010Shatsky_MultiVariate]]
| Sharpening based on an atomic model
+
| Multivariate Statistical Analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Ramlaul_Filtering]]
+
| [[2012Scheres_Bayesian]]
| Local agreement filtering (denoising)
+
| A Bayesian view on cryo-EM structure determination
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Terwilliger_density]]
+
| [[2012Zheng_Covariance]]
| Density modification of CryoEM maps
+
| Estimation of the volume covariance
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Vilas_Bfactor]]
+
| [[2013Wang_MLVariance]]
| Global B-factor correction does not represent macromolecules
+
| Maximum Likelihood estimate of the map variance
 
|-  
 
|-  
  
|}
+
| Paper
 
+
| [[2013Lyumkis D_FREALIGN]]
=== CTF estimation and restoration ===
+
| Likelihood-based classification of cryo-EM images using FREALIGN.
 
+
|
{|
 
  
 
| Paper
 
| Paper
| [[1982Schiske_Correction]]
+
| [[2014Chen_Migration]]
| CTF correction for tilted objects
+
| Particle migration analysis in 3D classification
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1988Toyoshima_Model]]
+
| [[2014Dashti_Brownian]]
| CTF estimation
+
| Continuous heterogeneity through Brownian trajectories
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1995Frank_Wiener]]
+
| [[2014Schwander_manifold]]
| CTF correction using Wiener filter
+
| Continuous heterogeneity through Manifold Analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1996Skoglund_MaxEnt]]
+
| [[2014Jin_NMA]]
| CTF correction with Maximum Entropy
+
| HEMNMA: Continuous heterogeneity through Normal Mode Analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1996Zhou_Model]]
+
| [[2015Anden_Covariance]]
| CTF model and user interface for manual fitting
+
| 3D Covariance matrix estimation for heterogeneity
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1997Fernandez_AR]]
+
| [[2015Bai_Focused]]
| PSD estimation using periodogram averaging and AR models
+
| Focused classification
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1997Penczek_Wiener]]
+
| [[2015Katsevich_Covariance]]
| CTF correction using Wiener filter
+
| 3D Covariance matrix estimation for heterogeneity
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1997Stark_Deconvolution]]
+
| [[2015Klaholz_MRA]]
| CTF correction using deconvolution
+
| Multivariate Statistical Analysis of Jackknife and Bootstrapping on random subsets
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1997Zhu_RecCTF]]
+
| [[2015Liao_Covariance]]
| CTF correction and reconstruction
+
| Estimation of the 3D covariance from 2D projections
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2000DeRosier_EwaldCorrection]]
+
| [[2015Tagare_Direct]]
| CTF correction considering the Ewald sphere
+
| Direct reconstruction of PCA components
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2000Jensen_TiltedCorrection]]
+
| [[2016Gong_Mechanical]]
| CTF correction considering tilt in backprojection
+
| Mechanical model for macromolecules
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2001Saad_CTFEstimate]]
+
| [[2016Rawson_Movement]]
| CTF estimation
+
| Movement and flexibility
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Huang_CTFEstimate]]
+
| [[2016Shan_Multibody]]
| CTF estimation
+
| Multibody refinement
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Mindell_CTFTILT]]
+
| [[2016Sorzano_StructMap]]
| CTF estimation for tilted micrographs
+
| Sorting a discrete set of conformational states
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Sander_MSA]]
+
| [[2016Sorzano_Strain]]
| CTF estimation through MSA classification of PSDs
+
| Calculate local stretches, strains and rotations from two conformational states
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Velazquez_ARMA]]
+
| [[2017Punjani_CryoSPARC]]
| PSD and CTF estimation using ARMA models
+
| CryoSPARC
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Sorzano_IDR]]
+
| [[2017Schillbach_Warpcraft]]
| CTF restoration and reconstruction with Iterative Data Refinement
+
| Warpcraft: 3D Reconstruction in the presence of continuous heterogeneity
 
|-  
 
|-  
  
| Conference
+
| Paper
| [[2004Wan_CTF]]
+
| [[2018Anden_Covariance]]
| Spatially variant CTF
+
| Structural Variability from Noisy Tomographic Projections
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Zubelli_Chahine]]
+
| [[2018Haselbach_FreeEnergy]]
| CTF restoration and reconstruction with Chahine's multiplicative method
+
| Analysis of the free energy landscape through PCA
 
|-  
 
|-  
  
| Conference
+
| Paper
| [[2005Dubowy_SpaceVariant]]
+
| [[2018Nakane_MultiBody]]
| CTF correction when this is space variant
+
| Structural Variability through multi-body refinement
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Mallick_ACE]]
+
| [[2019Serna_Review]]
| CTF estimation
+
| Review of classification tools
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Wolf_Ewald]]
+
| [[2018Solernou_FFEA]]
| CTF correction considering Ewald sphere
+
| Fluctuating Finite Element Analysis, continuum approach to Molecular Dynamics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Jonic_EnhancedPSD]]
+
| [[2019Sorzano_Review]]
| PSD enhancement for better identification of Thon rings; Vitreous ice diffracts in Thon rings
+
| Review of continuous heterogeneity biophysics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Philippsen_Model]]
+
| [[2019Zhang_Local]]
| CTF Model for tilted specimens
+
| Local variability and covariance
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Sorzano_CTF]]
+
| [[2020Dashti_Landscape]]
| CTF estimation using enhanced PSDs
+
| Retrieving functional pathways from single particle snapshots
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2009Sorzano_Sensitivity]]
+
| [[2020Gupta_MultiCryoGAN]]
| Error sensitivity of the CTF models, non-uniqueness of the CTF parameters
+
| Reconstruction of continuously heterogeneous structures with adversarial networks
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Jiang2010_CTFCorrection]]
+
| [[2020Harastani_NMA]]
| Amplitude correction method
+
| HEMNMA in Scipion : Using HEMNMA for analyzing continuous heterogeneity with normal modes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Kasantsev_CTFCorrection]]
+
| [[2020Maji_Propagation]]
| Mathematical foundations of Kornberg and Jensen method
+
| Propagation of conformational coordinates across angular space
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Leong_CTFCorrection]]
+
| [[2020Moscovich_DiffusionMaps]]
| Correction for spatially variant CTF
+
| Heterogeneity analysis by diffusion maps and spectral volumes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2011Glaeser_Coma]]
+
| [[2020Seitz_Polaris]]
| The effect of coma at high-resolution
+
| Analysis of energy landscapes to find minimal action paths
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2011Mariani_Tilted]]
+
| [[2020Zhong_CryoDRGN]]
| CTF simulation and correction of tilted specimens
+
| CryoDRGN to analyze the continuous heterogeneity by CryoEM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2011Sindelar_Wiener]]
+
| [[2020Verbeke_Separation]]
| CTF correction using a modified version of Wiener filter
+
| Heterogeneity analysis by comparing common lines
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2011Voortman_Tilted]]
+
| [[2021Chen_GM]]
| CTF correction for tilted specimen
+
| Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Voortman_VaryingCTF]]
+
| [[2021Giraldo_cryoBIFE]]
| Correcting a spatially varying CTF
+
| A Bayesian approach to extracting free‑energy profiles
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2013Vargas_FastDef]]
+
| [[2021Hamitouche_NMADL]]
| Fast defocus
+
| Continuous heterogeneity analysis through normal modes and deep learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Penczek_CTER]]
+
| [[2021Herreros_Zernikes3D]]
| Estimation of the CTF errors
+
| Continuous heterogeneity analysis through Zernikes 3D
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Rohou_CTFFind4]]
+
| [[2021Kazemi_Enrich]]
| CTF Find 4
+
| ENRICH: A fast method to improve the quality of flexible macromolecular reconstructions
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Sheth_CTFquality]]
+
| [[2021Matsumoto_DEFmap]]
| Visualization and quality assessment of CTF
+
| Prediction of RMSF of Molecular Dynamics from a CryoEM map using deep learning
 +
|-
 +
 
 +
| Chapter
 +
| [[2021Nakasako_Landscape]]
 +
| Estimation of free-energy landscape from images
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Zhang_GCTF]]
+
| [[2021Punjani_3DVA]]
| gCTF
+
| 3D Variability analysis from images
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Su_GoCTF]]
+
| [[2021Sorzano_PCA]]
| goCTF, CTF for tilted specimens
+
| PCA is limited to low-resolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Zivanov_HighOrder]]
+
| [[2021Zhong_CryoDRGN]]
| Estimation of high order aberrations
+
| CryoDRGN to analyze the continuous heterogeneity by CryoEM
 
|-  
 
|-  
  
|}
+
| Paper
 
+
| [[2022Ecoffet_MorphOT]]
=== Segmentation ===
+
| More physically plausible morphing between two states
 
+
|-
{|
 
  
 
| Paper
 
| Paper
| [[2006Baker_segmentation]]
+
| [[2022Gomez_Hierarchical]]
| Segmentation of molecular subunits
+
| Hierarchical classification of particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Pintilie_segger]]
+
| [[2022Hamitouche_DeepHEMNMA]]
| Segmentation of molecular subunits
+
| DeepHEMNMA: Continuous heterogeneity analysis through normal modes and deep learning
 
|-  
 
|-  
  
 
| Conference
 
| Conference
| [[2017Nissenson_VolumeCut]]
+
| [[2022Levy_CryoFire]]
| Segmentation of an EM volume using an atomic model
+
| CryoFire: heterogeneity and alignment through amortized inference
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Beckers_FDR]]
+
| [[2022Rabuck_Quant]]
| Segmentation of the protein using False Discovery Rate
+
| Workflow for discrete heterogeneity analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Beckers_FDR]]
+
| [[2022Skalidis_Endogenous]]
| Segmentation of the protein using False Discovery Rate (GUI)
+
| AI tools to recognize proteins in cellular fractions
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Farkas_MemBlob]]
+
| [[2022Wu_Manifold]]
| Segmentation of membrane in membrane embedded proteins
+
| Continuous heterogeneity through manifold learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Terashi_MainMastSeg]]
+
| [[2022Zhou_Data]]
| Segmentation of proteins into domains
+
| Determination of the number of discrete 3D classes
 
|-  
 
|-  
 
|}
 
 
=== Fitting and docking ===
 
 
{|
 
  
 
| Paper
 
| Paper
| [[1999Volkmann_Fitting]]
+
| [[2023Barchet_Focused]]
| Fitting in real space
+
| Applications and strategies in focused classification and refinement
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2001Baker_Review]]
+
| [[2023Chen_GMM]]
| Review of protein structure prediction
+
| Continuous heterogeneity analysis with GMMs and neural networks
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2001Jones_Review]]
+
| [[2023Dsouza_benchmark]]
| Review of protein structure prediction
+
| Benchmark analysis of various continuous heterogeneity algorithms
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Kovacs_FRM3D]]
+
| [[2023Esteve_Spectral]]
| Fast Rotational Alignment of two EM maps
+
| Continuous heterogeneity analysis through the spectral decomposition of the atomic structure
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Tama_NMA1]]
+
| [[2023Fernandez_Subtraction]]
| Flexible fitting with Normal Modes (I)
+
| Subtraction of unwanted signals to improve classification and alignment
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Tama_NMA2]]
+
| [[2023Herreros_Hub]]
| Flexible fitting with Normal Modes (II)
+
| Flexibility hub: an integrative platform for continuous heterogeneity
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Velazquez_Superfamilies]]
+
| [[2023Luo_OpusDSD]]
| Recognition of the superfamily folding in medium-high resolution volumes
+
| OPUS DSD: a neural network approach to continuous heterogeneity
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007DeVries_Haddock]]
+
| [[2023Kinman_Analysis]]
| Docking with Haddock 2.0
+
| Analysis of the continuous heterogeneity results of CryoDrgn
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Kleywegt_QualityControl]]
+
| [[2023Matsumoto_DEFmap]]
| Quality control and validation of fitting
+
| Quantitative analysis of the prediction of RMSF from a map using DefMap
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Biswas_Secondary]]
+
| [[2023Punjani_3DFlex]]
| Secondary structure determination in EM volumes
+
| Continuous heterogeneity through 3DFlex
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Velazquez_Constraints]]
+
| [[2023Seitz_Geometric]]
| Multicomponent fitting by using constraints from other information sources
+
| Geometric relationships between manifold embeddings of a continuum of 3D molecular structures and their 2D projections
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Chapman MS_Atomicmodeling]]
+
| [[2023Seitz_ESPER]]
| Atomic modeling of cryo-electron microscopy reconstructions--joint refinement of model and imaging parameters
+
| Continuous heterogeneity through Embedded subspace partitioning and eigenfunction realignment
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Esquivel_Modelling]]
+
| [[2023Tang_Reweighting]]
| Review on modelling (secondary structure, fitting, ...)
+
| Ensemble reweighting using Cryo-EM particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Lopez_Imodfit]]
+
| [[2023Vuillemot_MDSPACE]]
| Fitting based on vibrational analysis
+
| MDSPACE: Continuous heterogeneity analysis through normal modes and MD simulation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Nogales_3DEMLoupe]]
+
| [[2023Wang_Autoencoder]]
| Normal Mode Analysis of reconstructed volumes
+
| Discrete heterogeneity based on autoencoders
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014AlNasr_Secondary]]
+
| [[2024Chen_Focused]]
| Identification of secondary structure elements in EM volumes
+
| Focused reconstruction of heterogeneous macromolecules
 
|-  
 
|-  
  
| Paper
+
|}
| [[2014Politis_MassSpect]]
+
 
| Integration of mass spectroscopy information
+
=== Validation ===
|-
+
 
 +
{|
  
 
| Paper
 
| Paper
| [[2014Rey_MassSpect]]
+
| [[2008Stagg_TestBed]]
| Integration of mass spectroscopy information
+
| Effect of voltage, dosis, number of particles and Euler jumps on resolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Villa_Review]]
+
| [[2011Henderson]]
| Review of atomic fitting into EM volumes
+
| Tilt Validation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Barad_EMRinger]]
+
| [[2011Read]]
| Validation of hybrid models
+
| Validation of PDBs
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Bettadapura_PF2Fit]]
+
| [[2012Henderson]]
| Fast rigid fitting of PDBs into EM maps
+
| EM Map Validation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Carrillo_CapsidMaps]]
+
| [[2013Cossio_Bayesian]]
| Analysis of virus capsids using Google Maps
+
| EM Map Validation in a probabilistic setting
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Hanson_Continuum]]
+
| [[2013Chen_NoiseSubstitution]]
| Modelling assemblies with continuum mechanics
+
| Noise substitution at high resolution for measuring overfitting
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Lopez_Review]]
+
| [[2013Ludtke_Validation]]
| Review of structural modelling from EM data
+
| Structural validation, example of the Calcium release channel
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Schroeder_Hybrid]]
+
| [[2013Murray_Validation]]
| Review on model building
+
| Validation of a 3DEM structure through a particular example
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Tamo_Dynamics]]
+
| [[2014Russo_StatisticalSignificance]]
| Dynamics in integrative modeling
+
| EM Map Validation through the statistical significance of the tilt-pair angular assignment
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Sorzano_AtomsToVoxels]]
+
| [[2014Stagg_Reslog]]
| Accurate conversion of an atomic model into a voxel density volume
+
| EM Map Validation through the resolution evolution with the number of particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Joseph_Evolution]]
+
| [[2014Wasilewski_Tilt]]
| Evolutionary constraints for the fitting of atomic models into density maps
+
| Web implementation of the tilt pair validation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Joseph_Refinement]]
+
| [[2015Heymann_Alignability]]
| Refinement of atomic models in high-resolution EM reconstructions using Flex-EM
+
| EM Map Validation through the resolution of reconstructions from particles and noise
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Murshudov_Refinement]]
+
| [[2015Oliveira_FreqLimited]]
| Refinement of atomic models in high-resolution EM reconstructions
+
| Comparison of gold standard and frequency limited optimization
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Segura_3Diana]]
+
| [[2015Rosenthal_Review]]
| Validation of hybrid models
+
| Review of validation methods
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Singharoy_MDFF]]
+
| [[2015Wriggers_Secondary]]
| Construction of hybrid models driven by EM density and molecular dynamics
+
| Validation by secondary structure
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Wang_Rosetta]]
+
| [[2016Degiacomi_IM]]
| Construction of hybrid models driven by EM density using Rosetta
+
| Comparison of Ion Mobility data and EM volumes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Chen_CoarseGraining]]
+
| [[2016Kim_SAXS]]
| Coarse graining of EM volumes
+
| Comparison of SAXS data and EM projections
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Joseph_Metrics]]
+
| [[2016Rosenthal_Review]]
| Metrics analysis for the comparison of structures
+
| Review of validation methods
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Hryc_WeightedAtoms]]
+
| [[2016Vargas_Alignability]]
| Construction of hybrid models by locally weighting the different atoms
+
| Validation by studying the tendency of an angular assignment to cluster in the projection space
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Matsumoto_Distribution]]
+
| [[2017Monroe_PDBRefinement]]
| Estimating the distribution of conformations of atomic models
+
| Validation by comparison to a refined PDB
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Michel_ContactPrediction]]
+
| [[2018Afonine_Phenix]]
| Structure prediction by contact prediction
+
| Tools in Phenix for the validation of EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Miyashita_EnsembleFitting]]
+
| [[2018Heymann_Bsoft]]
| Ensemble fitting using Molecular Dynamics
+
| Map validation using Bsoft
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Turk_ModelBuilding]]
+
| [[2018Heymann_Challenge]]
| Tutorial on model building and protein visualization
+
| A summary of the assessments of the 3D Map Challenge
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Wang_PartialCharges]]
+
| [[2018Jonic_Gaussian]]
| Appearance of partial charges in EM maps
+
| Assessment of sets of volumes by pseudoatomic structures
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Wlodawer]]
+
| [[2018Naydenova_AngularDistribution]]
| Comparison of X-ray and EM high resolution structures
+
| Evaluating the angular distribution of a 3D reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Cassidy_review]]
+
| [[2018Pages_Symmetry]]
| Review of methods for hybrid modeling
+
| Looking for a symmetry axis in a PDB
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Chen_SudeChains]]
+
| [[2018Pintilie_SSE]]
| A comparison of side chains between X-ray and EM maps
+
| Evaluating the quality of SSE and side chains
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Kawabata_Pseudoatoms]]
+
| [[2019Herzik_Multimodel]]
| Modelling the EM map with Gaussian pseudoatoms
+
| Local and global quality by multi-model fitting
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Kovacs_Medium]]
+
| [[2020Chen_Atomic]]
| Modelling of medium resolution EM maps
+
| Validation of the atomic models derived from CryoEM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Neumann_validation]]
+
| [[2020Cossio_CrossValidation]]
| Validation of fitting, resolution assessment and quality of fit
+
| Need for cross validation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Terwilliger_map_to_model]]
+
| [[2020Ortiz_CrossValidation]]
| Phenix map_to_model, automatic modelling of EM volumes
+
| Cross validation for SPA
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Wang_MD]]
+
| [[2020Sazzed_helices]]
| Constructing atomic models using molecular dynamics
+
| Validation of helix quality
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Xia_MVPENM]]
+
| [[2020Stojkovic_PTM]]
| Multiscale Normal Mode Analysis
+
| Validation of post-translational modifications
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Yu_Atomic]]
+
| [[2020Tiwari_PixelSize]]
| Constructing atomic models using existing tools
+
| Fine determination of the pixel size
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Bonomi_Multiscale]]
+
| [[2021Mendez_Graph]]
| Bayesian multi-scale modelling
+
| Identification of incorrectly oriented particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Klaholz_Review]]
+
| [[2021Pintilie_Validation]]
| Review of Phenix tools to modelling
+
| Review of map validation approaches
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Subramaniya_DeepSSE]]
+
| [[2021Olek_FDR]]
| Secondary structure prediction from maps using deep learning
+
| Cryo-EM Map–Based Model Validation Using the False Discovery Rate Approach
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Zhang_CoarseGrained]]
+
| [[2022Garcia_DeepHand]]
| Coarse-graining of EM maps
+
| Checking the correct handedness with a neural network
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Costa_MDeNM]]
+
| [[2022Sorzano_Bias]]
| Flexible fitting with molecular dynamics and normal modes
+
| Bias, variance, gold-standard and overfitting in SPA
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Dodd_ModelBuilding]]
+
| [[2022Sorzano_Validation]]
| Model building possibilities, with special emphasis on flexible fitting
+
| Validation scheme and server for SPA
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Ho_CryoID]]
+
| [[2022Terashi_DAQ]]
| Identification of proteins in structural proteomics from cryoEM volumes
+
| Validation of models fitted into CryoEM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Hoh_Buccaneer]]
+
| [[2022Waarshamanage_EMDA]]
| Structure modelling with Buccaneer
+
| Validation of models fitted into CryoEM maps
 
|-  
 
|-  
 
  
 
| Paper
 
| Paper
| [[2020Joseph_comparison]]
+
| [[2024Verbeke_SelfFSC]]
| Comparison of map and model, or two maps
+
| Self FSC: FSC with a single map
 
|-  
 
|-  
 +
 +
|}
 +
 +
=== Resolution ===
 +
 +
{|
  
 
| Paper
 
| Paper
| [[2020Kim_Review]]
+
| [[1986Harauz_FBP]]
| Review of the options for atomic modelling
+
| Fourier Shell Correlation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Leelananda_Constraints]]
+
| [[1987Unser_SSNR]]
| NMR Chemical Shifts and Cryo-EM Density Restraints in Iterative Rosetta-MD structure refinement
+
| 2D Spectral Signal to Noise Ratio
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Vant_Flexible]]
+
| [[2002Penczek_SSNR]]
| Flexible fitting with molecular dynamics and neural network potentials
+
| 3D Spectral Signal to Noise Ratio for Fourier based algorithms
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2021Saltzberg_IMP]]
+
| [[2003Rosenthal_DPR]]
| Using the Integrative Modeling Platform to model a cryoEM map
+
| Review of the FSC and establishment of a new threshold
 
|-  
 
|-  
  
|}
+
| Paper
 
+
| [[2005Unser_SSNR]]
=== Books and reviews ===
+
| 3D Spectral Signal to Noise Ratio for any kind of algorithms
 
 
{|
 
 
 
| Book
 
| [[1980Herman_Tomography]]
 
| General book on tomography
 
 
|-  
 
|-  
  
| Book
+
| Paper
| [[1988Kak_Tomography]]
+
| [[2005VanHeel_FSC]]
| General book on tomography
+
| Establishment of a new threshold for FSC
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2000Tao_Review]]
+
| [[2007Sousa_AbInitio]]
| Review of single particles
+
| Resolution measurement on neighbour Fourier voxels
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2000VanHeel_Review]]
+
| [[2014Kucukelbir_Local]]
| Review of single particles
+
| Quantifying the local resolution of cryo-EM density maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2002Frank_Review]]
+
| [[2016Pintilie_Probabilistic]]
| Review of single particles
+
| Probabilistic models and resolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2002Schmid_Review]]
+
| [[2017Sorzano_FourierProperties]]
| Review of single particles
+
| Statistical properties of resolution measures defined in Fourier space
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2004Henderson_Review]]
+
| [[2018Avramov_DeepLearning]]
| Review of electron microscopy
+
| Deep learning classification of volumes into low, medium and high resolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Subramaniam_Review]]
+
| [[2018Carugo_BFactors]]
| Review of single particles
+
| How large can B-factors be in protein crystals
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2005Steven_Review]]
+
| [[2018Kim_FourierError]]
| Review of electron microscopy
+
| Comparison between a gold standard and a reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Fernandez_Review]]
+
| [[2018Rupp_Problems]]
| Review of electron microscopy
+
| Problems of resolution as a proxy number for map quality
 
|-  
 
|-  
  
| Book
+
| Paper
| [[2006Frank_book]]
+
| [[2018Vilas_MonoRes]]
| Book covering all aspects of electron microscopy of single particles
+
| Local resolution by monogenic signals
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Sorzano_Review]]
+
| [[2018Yang_Multiscale]]
| Review of optimization problems in electron microscopy
+
| Resolution from a multiscale spectral analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Leschziner_Review]]
+
| [[2019Avramov_DeepLearning]]
| Review of 3D heterogeneity handling algorithms
+
| Deep learning classification of volumes into low, medium and high resolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Sorzano_Review]]
+
| [[2019Heymann_Statistics]]
| Review of the image processing steps
+
| SNR, FSC, and related statistics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Fanelli_ImageFormation]]
+
| [[2019Ramirez_DeepRes]]
| Review on the image formation model from the electron waves and open inverse-problems in Electron Tomography
+
| Resolution determination by deep learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Fernandez_HPCReview]]
+
| [[2020Baldwin_Lyumkis_SCF]]
| High performance computing in electron cryomicroscopy
+
| Resolution attenuation through non-uniform Fourier sampling
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Jonic_Review]]
+
| [[2020Beckers_Permutation]]
| Comparison between electron tomography and single particles
+
| Permutation tests for the FSC
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Mueller_Review]]
+
| [[2020Penczek_mFSC]]
| Review of Electron microscopy
+
| Modified FSC to avoid mask induced artifacts
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Taylor_Review]]
+
| [[2020Vilas_MonoDir]]
| Review of Electron microscopy
+
| Local and directional resolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010DeRosier_Review]]
+
| [[2023Dai_CryoRes]]
| Personal account of how 3DEM developed in the early days
+
| Local resolution through deep learning
 
|-  
 
|-  
  
| Chapter
+
| Paper
| [[2012Sorzano_Review]]
+
| [[2023Vilas_FSO]]
| Review of single particle analysis using Xmipp
+
| Fourier Shell Occupancy to measure anisotropy
 
|-  
 
|-  
  
| Chapter
+
|}
| [[2012Devaux_Protocol]]
 
| Protocols for performing single particle analysis
 
|-
 
  
 +
=== Sharpening of high resolution information ===
 +
{|
 +
 
| Paper
 
| Paper
| [[2014Bai_Review]]
+
| [[2003Rosenthal_DPR]]
| Recent advances in cryo-EM
+
| Contrast restoration and map sharpening
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Carazo_Review]]
+
| [[2008Fernandez_Bfactor]]
| Review of the reconstruction process
+
| Bfactor determination and restoration
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Cheng_Review]]
+
| [[2013Fiddy_SaxtonAlgorithm]]
| A primer to Single Particle Cryo-EM
+
| Phase retrieval or extension
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Cheng_Reviewb]]
+
| [[2014Kishchenko_SphericalDeconvolution]]
| Single Particle Cryo-EM at crystallographic resolution
+
| Spherical deconvolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Elmlund_Review]]
+
| [[2015Spiegel_VISDEM]]
| Recent advances in cryo-EM
+
| Visualization improvement by the use of pseudoatomic profiles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Henderson_Review]]
+
| [[2016Jonic_Pseudoatoms]]
| Recent advances in cryo-EM
+
| Approximation with pseudoatoms
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Nogales_Review]]
+
| [[2016Jonic_Denoising]]
| Recent advances in cryo-EM
+
| Denoising and high-frequency boosting by pseudoatom approximation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Schroeder_Review]]
+
| [[2017Jakobi_LocScale]]
| Review of advances in the electron microscope
+
| Sharpening based on an atomic model
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015VanDenBedem_Integrative]]
+
| [[2019Ramlaul_Filtering]]
| Review of integrative structural biology
+
| Local agreement filtering (denoising)
 +
|-
 +
 
 +
| Conference
 +
| [[2020Mullick_SuperResolution]]
 +
| Superresolution from a map
 
|-  
 
|-  
 +
  
 
| Paper
 
| Paper
| [[2015Wu_Review]]
+
| [[2020Ramirez_LocalDeblur]]
| Review of advances in cryo-EM
+
| Local deblur (local Wiener filter)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Carroni_CryoEM]]
+
| [[2020Terwilliger_density]]
| Review of advances in Cryo-EM
+
| Density modification of CryoEM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Egelman_CryoEM]]
+
| [[2020Vilas_Bfactor]]
| Review of advances in Cryo-EM
+
| Global B-factor correction does not represent macromolecules
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Eisenstein_CryoEM]]
+
| [[2021Beckers_Interpretation]]
| News feature on the Method of the Year
+
| Improvements from the raw reconstruction to a structure to model
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016FernandezLeiro_Review]]
+
| [[2021Kaur_LocSpiral]]
| Review of EM
+
| LocSpiral, LocBsharpen, LocBfactor
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Glaeser_HowGood]]
+
| [[2021Fernandez_Adjustment]]
| How good can cryo-EM become?
+
| Map adjustment for subtraction, consensus and sharpening
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Jonic_PseudoAtoms]]
+
| [[2021Sanchez_DeepEMhancer]]
| Review of the applications of the use of pseudoatoms in EM
+
| Deep learning algorithm for volume restoration
 
|-  
 
|-  
  
| Chapter
+
| Paper
| [[2016Mio_Review]]
+
| [[2022Gilles_Wilson]]
| Overview of the process to obtain EM reconstructions
+
| A molecular prior distribution for Bayesian inference based on Wilson statistics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Jonic_Review]]
+
| [[2022Vargas_tubular]]
| A review of computational ways to handle heterogeneity
+
| Map enhancement by multiscale tubular filter
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Nogales_Review]]
+
| [[2023He_EMReady]]
| Review of advances in cryo-EM
+
| Map enhancement with local and non-local deep learning (EMReady)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Subramaniam_Review]]
+
| [[2023Maddhuri_EMGan]]
| Why cryo-EM is now suitable for crystallographic journals
+
| Map enhancement with GANs (EMGan)
 
|-  
 
|-  
 +
 +
|}
 +
 +
=== CTF estimation and restoration ===
 +
 +
{|
  
 
| Paper
 
| Paper
| [[2016Vinothkumar_Review]]
+
| [[1982Schiske_Correction]]
| Historical review and current limitations
+
| CTF correction for tilted objects
|-
 
 
 
| Report
 
| [[2017Brezinski_Nobel]]
 
| Scientific background on the Nobel Prize in Chemistry 2017
 
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Cheng_review]]
+
| [[1988Toyoshima_Model]]
| Why CryoEM became so hot
+
| CTF estimation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Danev_Review]]
+
| [[1995Frank_Wiener]]
| Review of the use of phase plates in EM
+
| CTF correction using Wiener filter
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Elmlund_Review]]
+
| [[1996Skoglund_MaxEnt]]
| Review of the main current difficulties of EM
+
| CTF correction with Maximum Entropy
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Frank_Review]]
+
| [[1996Zhou_Model]]
| Historical review of EM
+
| CTF model and user interface for manual fitting
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Frank_TimeResolved]]
+
| [[1997Fernandez_AR]]
| Review of time-resolved of EM
+
| PSD estimation using periodogram averaging and AR models
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Jonic_Review]]
+
| [[1997Penczek_Wiener]]
| Review of computational methods to analyze conformational variability
+
| CTF correction using Wiener filter
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Merino_DrugEM]]
+
| [[1997Stark_Deconvolution]]
| Applications of EM for drug design
+
| CTF correction using deconvolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Rawson_Limitations]]
+
| [[1997Zhu_RecCTF]]
| Limitations of EM for drug design
+
| CTF correction and reconstruction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Sorzano_FourierProperties]]
+
| [[2000DeRosier_EwaldCorrection]]
| Review of statistical properties of resolution measures defined in Fourier space
+
| CTF correction considering the Ewald sphere
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Sorzano_SurveyIterative]]
+
| [[2000Jensen_TiltedCorrection]]
| Survey of iterative reconstruction methods for EM
+
| CTF correction considering tilt in backprojection
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Bruggeman_Crowdsourcing]]
+
| [[2001Saad_CTFEstimate]]
| Exploring crowdsourcing for EM image processing
+
| CTF estimation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Cheng_Review]]
+
| [[2003Huang_CTFEstimate]]
| Review of EM and future ahead
+
| CTF estimation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Cossio_ML]]
+
| [[2003Mindell_CTFTILT]]
| Review of Maximum Likelihood methods
+
| CTF estimation for tilted micrographs
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Grimes_Crystallography]]
+
| [[2003Sander_MSA]]
| Review of X-ray crystallography and its relationship to EM
+
| CTF estimation through MSA classification of PSDs
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Murata_Review]]
+
| [[2003Velazquez_ARMA]]
| Review of EM for structure dynamics
+
| PSD and CTF estimation using ARMA models
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Quentin_Biomedical]]
+
| [[2004Sorzano_IDR]]
| Review of EM as a tool for biomedical research
+
| CTF restoration and reconstruction with Iterative Data Refinement
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2018Scapin_DrugDiscovery]]
+
| [[2004Wan_CTF]]
| Review of EM as a tool for drug discovery
+
| Spatially variant CTF
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Vilas_ImageProcessing]]
+
| [[2004Zubelli_Chahine]]
| Review of the recent developments in image processing for single particle analysis
+
| CTF restoration and reconstruction with Chahine's multiplicative method
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2018vonLoeffelholz_VPP]]
+
| [[2005Dubowy_SpaceVariant]]
| Comparison of Volta Phase Plate reconstructions close to focus and with defocus
+
| CTF correction when this is space variant
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Eisenstein_DrugDesigners]]
+
| [[2005Mallick_ACE]]
| Drug designers embrace cryo-EM
+
| CTF estimation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Benjin_Review]]
+
| [[2006Wolf_Ewald]]
| Review of SPA
+
| CTF correction considering Ewald sphere
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Danev_Review]]
+
| [[2007Jonic_EnhancedPSD]]
| Review of future directions
+
| PSD enhancement for better identification of Thon rings; Vitreous ice diffracts in Thon rings
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Lyumkis_Review]]
+
| [[2007Philippsen_Model]]
| Challenges and reviews
+
| CTF Model for tilted specimens
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Sorzano_Review]]
+
| [[2007Sorzano_CTF]]
| Review of continuous heterogeneity biophysics
+
| CTF estimation using enhanced PSDs
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Abriata_Review]]
+
| [[2009Sorzano_Sensitivity]]
| Considerations of structure prediction and CryoEM
+
| Error sensitivity of the CTF models, non-uniqueness of the CTF parameters
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Akbar_Review]]
+
| [[2010Jiang2010_CTFCorrection]]
| Review of membrane protein reconstructions
+
| Amplitude correction method
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Bendory_Review]]
+
| [[2010Kasantsev_CTFCorrection]]
| Review of image processing problems
+
| Mathematical foundations of Kornberg and Jensen method
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Dubach_Review]]
+
| [[2010Leong_CTFCorrection]]
| Review of resolution in X-ray crystallography and CryoEM
+
| Correction for spatially variant CTF
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020McCafferty_Review]]
+
| [[2011Glaeser_Coma]]
| Review of SPA and Mass Spectroscopy
+
| The effect of coma at high-resolution
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Vilas_Review]]
+
| [[2011Mariani_Tilted]]
| Review of local resolution
+
| CTF simulation and correction of tilted specimens
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Wu_Review]]
+
| [[2011Sindelar_Wiener]]
| Review of current limitations, with special emphasis on protein size
+
| CTF correction using a modified version of Wiener filter
 
|-  
 
|-  
  
|}
+
| Paper
 
+
| [[2011Voortman_Tilted]]
=== Software ===
+
| CTF correction for tilted specimen
 
+
|-
{|
 
  
 
| Paper
 
| Paper
| [[1996Frank_Spider]]
+
| [[2012Voortman_VaryingCTF]]
| Spider
+
| Correcting a spatially varying CTF
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1996VanHeel_Imagic]]
+
| [[2013Vargas_FastDef]]
| Imagic
+
| Fast defocus
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1999Lutdke_Eman]]
+
| [[2014Penczek_CTER]]
| Eman
+
| Estimation of the CTF errors
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Sorzano_Xmipp]]
+
| [[2015Rohou_CTFFind4]]
| Xmipp
+
| CTF Find 4
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Baldwin_AngularTransformations]]
+
| [[2015Sheth_CTFquality]]
| The Transform Class in SPARX and EMAN2
+
| Visualization and quality assessment of CTF
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Heymann_Bsoft]]
+
| [[2016Zhang_GCTF]]
| Bsoft
+
| gCTF
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Grigorieff_Frealign]]
+
| [[2018Su_GoCTF]]
| Frealign
+
| goCTF, CTF for tilted specimens
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Scheres_XmippProtocols]]
+
| [[2020Heimowitz_Aspire]]
| Xmipp Protocols
+
| CTF determination in Aspire
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Shaikh_SpiderProtocols]]
+
| [[2020Zivanov_HighOrder]]
| Spider Protocols
+
| Estimation of high order aberrations
 
|-  
 
|-  
  
| Paper
+
|}
| [[2012Wriggers_SitusConventions]]
+
 
| Conventions and workflows in Situs
+
=== Segmentation ===
|-
+
 
 +
{|
  
 
| Paper
 
| Paper
| [[2013DeLaRosa_Xmipp30]]
+
| [[2006Baker_segmentation]]
| Xmipp 3.0
+
| Segmentation of molecular subunits
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Cianfrocco_Cloud]]
+
| [[2010Pintilie_segger]]
| Software execution in the cloud
+
| Segmentation of molecular subunits
 
|-  
 
|-  
  
| Paper
+
| Conference
| [[2015Cheng_MRC2014]]
+
| [[2017Nissenson_VolumeCut]]
| Extensions to MRC file format
+
| Segmentation of an EM volume using an atomic model
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013DeLaRosa_Scipion]]
+
| [[2019Beckers_FDR]]
| Scipion
+
| Segmentation of the protein using False Discovery Rate
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Scheres_Relion]]
+
| [[2020Beckers_FDR]]
| Tutorial on the use of Relion
+
| Segmentation of the protein using False Discovery Rate (GUI)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Grigorieff_Frealign]]
+
| [[2020Farkas_MemBlob]]
| Tutorial on the use of Frealign
+
| Segmentation of membrane in membrane embedded proteins
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Moriya_Sphire]]
+
| [[2020Terashi_MainMastSeg]]
| Tutorial on the use of Sphire
+
| Segmentation of proteins into domains
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Bell_EMAN2]]
+
| [[2021He_EMNUSS]]
| New tools in EMAN2
+
| EMNUSS: Identification of secondary structure in CryoEM maps with deep learning
 
|-  
 
|-  
 +
 +
|}
 +
 +
=== Fitting and docking ===
 +
 +
{|
  
 
| Paper
 
| Paper
| [[2018Cianfrocco_cloud]]
+
| [[1999Volkmann_Fitting]]
| CryoEM Cloud Tools
+
| Fitting in real space
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Grant_cisTEM]]
+
| [[2001Baker_Review]]
| cisTEM
+
| Review of protein structure prediction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018McLeod_MRCZ]]
+
| [[2001Jones_Review]]
| MRC Compression format
+
| Review of protein structure prediction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Zivanov_Relion3]]
+
| [[2003Kovacs_FRM3D]]
| Relion 3
+
| Fast Rotational Alignment of two EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Caesar_Simple3]]
+
| [[2004Tama_NMA1]]
| Simple 3
+
| Flexible fitting with Normal Modes (I)
 
|-  
 
|-  
  
|}
+
| Paper
 
+
| [[2004Tama_NMA2]]
== Electron tomography ==
+
| Flexible fitting with Normal Modes (II)
 
+
|-
=== Image preprocessing ===
 
 
 
{|
 
  
 
| Paper
 
| Paper
| [[2015Yan_thickness]]
+
| [[2005Velazquez_Superfamilies]]
| Determination of thickness, tilt and electron mean free path
+
| Recognition of the superfamily folding in medium-high resolution volumes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Wu_contrast]]
+
| [[2007DeVries_Haddock]]
| Contrast enhancement to improve alignability
+
| Docking with Haddock 2.0
 
|-  
 
|-  
  
|}
+
| Paper
 
+
| [[2007Kleywegt_QualityControl]]
=== Image alignment ===
+
| Quality control and validation of fitting
 
+
|-
{|
 
  
 
| Paper
 
| Paper
| [[1982Guckenberger_commonOrigin]]
+
| [[2008Orzechowski_Flexible]]
| Determination of a common origin in the micrographs of titl series in three-dimensional electron microscopy
+
| Flexible fitting with biased molecular dynamics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1992Lawrence_leastSquares]]
+
| [[2008Rusu_Interpolation]]
| Least squares solution of the alignment problem
+
| Biomolecular pleiomorphism probed by spatial interpolation of coarse models
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1995Penczek_dual]]
+
| [[2012Biswas_Secondary]]
| Dual tilt alignment
+
| Secondary structure determination in EM volumes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1996Owen_alignmentQuality]]
+
| [[2012Velazquez_Constraints]]
| Automatic alignment without fiducial markers and evaluation of alignment quality
+
| Multicomponent fitting by using constraints from other information sources
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1998Grimm_normalization]]
+
| [[2013Chapman MS_Atomicmodeling]]
| Discussion of several gray level normalization methods for electron tomography
+
| Atomic modeling of cryo-electron microscopy reconstructions--joint refinement of model and imaging parameters
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2001Brandt_Automatic1]]
+
| [[2013Esquivel_Modelling]]
| Automatic alignment without fiducial markers
+
| Review on modelling (secondary structure, fitting, ...)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2001Brandt_Automatic2]]
+
| [[2013Lopez_Imodfit]]
| Automatic alignment with fiducial markers
+
| Fitting based on vibrational analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Winkler_alignment]]
+
| [[2013Nogales_3DEMLoupe]]
| Marker-free alignment and refinement
+
| Normal Mode Analysis of reconstructed volumes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Castano_alignment]]
+
| [[2014AlNasr_Secondary]]
| Alignment with non-perpendicularity
+
| Identification of secondary structure elements in EM volumes
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2007Castano_alignment]]
+
| [[2014Politis_MassSpect]]
| Fiducial-less alignment of cryo-sections
+
| Integration of mass spectroscopy information
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2009Sorzano_alignment]]
+
| [[2014Rey_MassSpect]]
| Marker-free alignment and refinement
+
| Integration of mass spectroscopy information
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Cantele_dualAlignment]]
+
| [[2014Villa_Review]]
| Alignment of dual series
+
| Review of atomic fitting into EM volumes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Tomonaga_Automatic]]
+
| [[2015Barad_EMRinger]]
| Automatic alignment of tilt series using the projection themselves
+
| Validation of hybrid models
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Han_Automatic]]
+
| [[2015Bettadapura_PF2Fit]]
| Automatic alignment of tilt series using SIFT features
+
| Fast rigid fitting of PDBs into EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Han_Automatic]]
+
| [[2015Carrillo_CapsidMaps]]
| Automatic alignment of tilt series using fiducials
+
| Analysis of virus capsids using Google Maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Mastronarde_Automatic]]
+
| [[2015Hanson_Continuum]]
| Automatic alignment and reconstruction of tilt series in IMOD
+
| Modelling assemblies with continuum mechanics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Fernadez_Beam]]
+
| [[2015Lopez_Review]]
| Image alignment considering beam induced motion
+
| Review of structural modelling from EM data
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Han_Fast]]
+
| [[2015Schroeder_Hybrid]]
| Automatic alignment using fiducial markers
+
| Review on model building
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Fernandez_residual]]
+
| [[2015Tamo_Dynamics]]
| Alignment of tilt series using residual interpolation
+
| Dynamics in integrative modeling
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Han_Dual]]
+
| [[2015Sorzano_AtomsToVoxels]]
| Automatic alignment using fiducial markers in dual tilt series
+
| Accurate conversion of an atomic model into a voxel density volume
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Sorzano_automatic]]
+
| [[2016Joseph_Evolution]]
| Automatic alignment considering several geometrical distortions
+
| Evolutionary constraints for the fitting of atomic models into density maps
 
|-  
 
|-  
  
|}
+
| Paper
 +
| [[2016Joseph_Refinement]]
 +
| Refinement of atomic models in high-resolution EM reconstructions using Flex-EM
 +
|-
  
=== CTF estimation and restoration ===
+
| Paper
 +
| [[2016Murshudov_Refinement]]
 +
| Refinement of atomic models in high-resolution EM reconstructions
 +
|-
  
{|
+
| Paper
 +
| [[2016Segura_3Diana]]
 +
| Validation of hybrid models
 +
|-
  
 
| Paper
 
| Paper
| [[2003Winkler_CTF]]
+
| [[2016Singharoy_MDFF]]
| Focus gradient correction in electron tomography
+
| Construction of hybrid models driven by EM density and molecular dynamics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Fernandez_CTF]]
+
| [[2016Wang_Rosetta]]
| CTF determination and correction in electron tomography
+
| Construction of hybrid models driven by EM density using Rosetta
 
|-  
 
|-  
  
 +
| Paper
 +
| [[2017Chen_CoarseGraining]]
 +
| Coarse graining of EM volumes
 +
|-
  
 
| Paper
 
| Paper
| [[2009Zanetti_CTF]]
+
| [[2017Joseph_Metrics]]
| CTF determination and correction in electron tomography
+
| Metrics analysis for the comparison of structures
 
|-  
 
|-  
 
  
 
| Paper
 
| Paper
| [[2009Xiong_CTF]]
+
| [[2017Hryc_WeightedAtoms]]
| CTF determination and correction for low dose tomographic tilt series
+
| Construction of hybrid models by locally weighting the different atoms
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Eibauer_CTF]]
+
| [[2017Matsumoto_Distribution]]
| CTF determination and correction
+
| Estimating the distribution of conformations of atomic models
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Bharat_CTFCorrectedSubtomogramAveraging]]
+
| [[2017Michel_ContactPrediction]]
| Subtomogram averaging with CTF correction using a Bayesian prior
+
| Structure prediction by contact prediction
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Turonova_3DCTF]]
+
| [[2017Miyashita_EnsembleFitting]]
| 3D CTF Correction
+
| Ensemble fitting using Molecular Dynamics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Kunz_3DCTF]]
+
| [[2017Turk_ModelBuilding]]
| 3D CTF Correction
+
| Tutorial on model building and protein visualization
 
|-  
 
|-  
 
|}
 
 
=== 3D reconstruction ===
 
 
{|
 
  
 
| Paper
 
| Paper
| [[1972Gilbert_SIRT]]
+
| [[2017Wang_PartialCharges]]
| Simultaneous Iterative Reconstruction Technique (SIRT)
+
| Appearance of partial charges in EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1973Herman_ART]]
+
| [[2017Wlodawer]]
| Algebraic Reconstruction Technique (ART)
+
| Comparison of X-ray and EM high resolution structures
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1984Andersen_SART]]
+
| [[2018Cassidy_review]]
| Simultaneous Algebraic Reconstruction Technique (SART)
+
| Review of methods for hybrid modeling
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1992Radermacher_WBP]]
+
| [[2018Chen_SudeChains]]
| Weighted Backprojection in electron tomography
+
| A comparison of side chains between X-ray and EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1997Marabini_reconstruction]]
+
| [[2018Kawabata_Pseudoatoms]]
| Iterative reconstruction in electron tomography
+
| Modelling the EM map with Gaussian pseudoatoms
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2002Fernandez_reconstruction]]
+
| [[2018Kovacs_Medium]]
| Iterative reconstruction in electron tomography
+
| Modelling of medium resolution EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Radermacher_WBP]]
+
| [[2018Neumann_validation]]
| Weighted Backprojection in electron tomography
+
| Validation of fitting, resolution assessment and quality of fit
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Fernandez_CARP]]
+
| [[2018Terwilliger_map_to_model]]
| Component Averaged Row Projections (CARP)
+
| Phenix map_to_model, automatic modelling of EM volumes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2010Xu_Long]]
+
| [[2018Wang_MD]]
| Iterative reconstructions with long object correction and GPU implementation
+
| Constructing atomic models using molecular dynamics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Herman General Superiorization]]
+
| [[2018Xia_MVPENM]]
| Superiorization: an optimization heuristic for medical physics
+
| Multiscale Normal Mode Analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Zhang_IPET_FETR]]
+
| [[2018Yu_Atomic]]
| IPET and FETR, a reconstruction algorithm for single molecule tomography
+
| Constructing atomic models using existing tools
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Goris_SIRT_TV_DART]]
+
| [[2019Bonomi_Multiscale]]
| Combination of SIRT, Total Variation and Discrete ART to reconstruct and segment at the same time
+
| Bayesian multi-scale modelling
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Briegel A_Challenge]]
+
| [[2019Kidmose_Namdinator]]
| The challenge of determining handedness in electron tomography and the use of DNA origami gold nanoparticle helices as molecular standards
+
| Namdinator: Flexible fitting with NAMD
 
|-  
 
|-  
 +
  
 
| Paper
 
| Paper
| [[2013Messaoudi_EnergyFiltered]]
+
| [[2019Klaholz_Review]]
| 3D Reconstruction of Energy-Filtered TEM
+
| Review of Phenix tools to modelling
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Venkatakrishnan_MBIR]]
+
| [[2019Subramaniya_DeepSSE]]
| 3D Reconstruction with priors
+
| Secondary structure prediction from maps using deep learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Deng_ICON]]
+
| [[2019Zhang_CoarseGrained]]
| 3D Reconstruction with missing information restoration
+
| Coarse-graining of EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Guay_Compressed]]
+
| [[2020Costa_MDeNM]]
| 3D Reconstruction using compressed sensing
+
| Flexible fitting with molecular dynamics and normal modes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Turonova_Artifacts]]
+
| [[2020Cragnolini_Tempy2]]
| Artifacts observed during 3D reconstruction
+
| TEMpy2 library for density-fitting and validation
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Yan_MBIR]]
+
| [[2020Dodd_ModelBuilding]]
| 3D Reconstruction with priors and demonstration of its use in biological samples
+
| Model building possibilities, with special emphasis on flexible fitting
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Sanchez_Hybrid]]
+
| [[2020Ho_CryoID]]
| 3D reconstruction with a special acquisition and alignment scheme
+
| Identification of proteins in structural proteomics from cryoEM volumes
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Song_Tygress]]
+
| [[2020Hoh_Buccaneer]]
| 3D reconstruction with a special acquisition and alignment scheme
+
| Structure modelling with Buccaneer
|- Hybrid subtomogram averaging - single particle cryo-EM
+
|-  
  
|}
 
  
=== Noise reduction ===
+
| Paper
{|
+
| [[2020Joseph_comparison]]
 +
| Comparison of map and model, or two maps
 +
|-
  
 
| Paper
 
| Paper
| [[2001Frangakis_NAD]]
+
| [[2020Kim_Review]]
| Noise reduction with Nonlinear Anisotropic Diffusion
+
| Review of the options for atomic modelling
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Fernandez_AND]]
+
| [[2020Leelananda_Constraints]]
| Anisotropic nonlinear diffusion for electron tomography
+
| NMR Chemical Shifts and Cryo-EM Density Restraints in Iterative Rosetta-MD structure refinement
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Jiang_Bilateral]]
+
| [[2020Liebschner_Ceres]]
| Bilateral denoising filter in electron microscopy
+
| CERES: Web server of refined atomic maps of CryoEM deposited maps by Phenix
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Fernandez_AND]]
+
| [[2020Oroguchi]]
| Anisotropic nonlinear denoising in electron tomography
+
| Assessment of Force Field Accuracy Using Cryogenic Electron Microscopy Data
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Heide_median]]
+
| [[2020Vant_Flexible]]
| Iterative median filtering in electron tomography
+
| Flexible fitting with molecular dynamics and neural network potentials
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2007Fernandez_autAND]]
+
| [[2021Behkamal_Secondary]]
| Anisotropic nonlinear diffusion with automated parameter tuning
+
| Secondary structure from medium resolution maps
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2009Fernandez_Beltrami]]
+
| [[2021Chojnowski_quality]]
| Nonlinear filtering based on Beltrami flow
+
| Quality of models automatically fitted with ARP/wARP
 
|-  
 
|-  
+
 
 
| Paper
 
| Paper
| [[2010Bilbao_MeanShift]]
+
| [[2021Han_Vesper]]
| Mean Shift Filtering
+
| VESPER: global and local cryo-EM map alignment using local density vectors
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Kovacik_wedgeArtefacts]]
+
| [[2021Lawson_Challenge]]
| Removal of wedge artefacts
+
| Validation recommendations based on outcomes of the 2019 EMDataResource challenge
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2014Maiorca_beadArtefacts]]
+
| [[2021Mori_Flexible]]
| Removal of gold bead artefacts
+
| Efficient Flexible Fitting Refinement with Automatic Error Fixing
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Trampert_Inpainting]]
+
| [[2021Pfab_DeepTracer]]
| Removal of the missing wedge by inpainting
+
| DeepTracer for fast de novo cryo-EM protein structure modeling
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Moreno_TomoEED]]
+
| [[2021Saltzberg_IMP]]
| Fast Anisotropic Diffusion
+
| Using the Integrative Modeling Platform to model a cryoEM map
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Wu_Enhancement]]
+
| [[2021Terwilliger_CryoID]]
| Enhancing the image contrast of electron tomography
+
| Identification of sequence in a CryoEM map from a set of candidates
 
|-  
 
|-  
  
|}
+
| Paper
 +
| [[2021Titarenko_LocalCorr]]
 +
| Performance improvement of local correlation for docking
 +
|-
  
=== Segmentation ===
+
| Conference
 +
| [[2021Vuillemot_NMA]]
 +
| Flexible fitting using a combined Bayesian and Normal Mode approach with Hamiltonian Monte Carlo sampling
 +
|-
  
{|
+
| Paper
 +
| [[2022Antanasijevic_ab]]
 +
| Sequence determination of antibodies bound to a map
 +
|-
  
 
| Paper
 
| Paper
| [[2002Frangakis_Eigenanalysis]]
+
| [[2022Behkamal_LPTD]]
| Segmentation using eigenvector analysis.
+
| LPTD: Topology determination of CryoEM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2002Volkmann_Watershed]]
+
| [[2022Chojnowski_findMySeq]]
| Segmentation using watershed transform.
+
| Identify sequence in CryoEM map using Deep Learning
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Bajaj_BoundarySegmentation]]
+
| [[2022Hryc_Pathwalking]]
| Segmentation based on fast marching.
+
| Atomic modelling with Pathwalking
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2005Cyrklaff_Thresholding]]
+
| [[2022He_EMBuild]]
| Segmentation using optimal thresholding.
+
| Atomic modelling for complexes with EMbuild
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Lebbink_TemplateMatching]]
+
| [[2022Krieger_Prody2]]
| Segmentation using template matching.
+
| Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Sandberg_OrientationFields]]
+
| [[2022Neijenhuis_Haddock]]
| Segmentation using orientation fields.
+
| Protein-protein interface refinement in complex maps with Haddock2.4
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Sandberg_SegmentationReview]]
+
| [[2022Urzhumtsev_Direct]]
| Review on segmentation in electron tomography.
+
| Calculation of the EM map from an atomic model
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Garduno_FuzzySegmentation]]
+
| [[2022Urzhumtsev_XrayEM]]
| Segmentation using fuzzy set theory principles.
+
| Effect of the local resolution on the atomic modeling
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2009Lebbink_TemplateMatching2]]
+
| [[2022Vuillemot_NMMD]]
| Segmentation using template matching.
+
| NMMD: Flexible fitting with simultaneous Normal Mode and Molecular Dynamics displacements
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012RubbiyaAli_EdgeDetection]]
+
| [[2022Zhang_CRITASSER]]
| Parameter-Free Segmentation of Macromolecular Structures.
+
| Atomic models of assemble protein structures with deep learning
 
|-  
 
|-  
  
| Conference
+
| Paper
| [[2015Xu_TemplateMatching]]
+
| [[2023Blau_FittingML]]
| Detection of macromolecular complexes with a reduced representation of the templates.
+
| Maximum-likelihood fitting of atomic models in EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Ali_RAZA]]
+
| [[2023Chang_CryoFold]]
| Automated segmentation of tomograms
+
| Flexible fitting into cryo-EM maps with CryoFold (a MELD plugin)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Chen_Annotation]]
+
| [[2023Millan_LL]]
| Automated annotation of tomograms
+
| Likelihood-based docking of models into cryo-EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Tasel_ActiveContours]]
+
| [[2023Park_CSA]]
| Segmentation with active contours
+
| Atomic model fitting using conformational space annealing
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Xu_DeepLearning]]
+
| [[2023Read_LL]]
| Finding proteins in tomograms using deep learning
+
| Likelihood-based signal and noise analysis for docking of models into cryo-EM maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Zeng_DeepLearning]]
+
| [[2023Reggiano_MEDIC]]
| Mining features in Electron Tomographt by deep learning
+
| Evaluation of atomic models using MEDIC
 
|-  
 
|-  
  
|}
+
| Paper
 +
| [[2023Terashi_DAQrefine]]
 +
| Atomic model refinement using AlphaFold2 and DAQ
 +
|-
  
=== Resolution ===
+
| Paper
{|
+
| [[2023Terashi_DeepMainMast]]
 +
| DeepMainMast: de novo modelling of CryoEM maps
 +
|-
  
 
| Paper
 
| Paper
| [[2005Cardone_Resolution]]
+
| [[2023Wang_CryoREAD]]
| Resolution criterion for electron tomography
+
| CryoREAD: de novo modelling of nucleic acids
 
|-  
 
|-  
  
| Chapter
+
|}
| [[2007Penczek_Resolution]]
+
 
| Review of resolution criteria for electron tomography
+
=== Books and reviews ===
 +
 
 +
{|
 +
 
 +
| Book
 +
| [[1980Herman_Tomography]]
 +
| General book on tomography
 
|-  
 
|-  
  
| Paper
+
| Book
| [[2015Diebolder_ConicalFSC]]
+
| [[1988Kak_Tomography]]
| Conical Fourier Shell Correlation
+
| General book on tomography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Vilas_Monotomo]]
+
| [[2000Tao_Review]]
| Resolution determination in tomograms
+
| Review of single particles
|-
+
|-  
 
 
|}
 
 
 
=== Subtomogram analysis ===
 
 
 
{|
 
  
 
| Paper
 
| Paper
| [[2000Bohm_Template]]
+
| [[2000VanHeel_Review]]
| Macromolecule finding by template matching
+
| Review of single particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2002Frangakis_Template]]
+
| [[2002Frank_Review]]
| Macromolecule finding by template matching
+
| Review of single particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Nickell_Review]]
+
| [[2002Schmid_Review]]
| Review of macromolecule finding by template matching (Visual Proteomics)
+
| Review of single particles
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Best_Review]]
+
| [[2004Henderson_Review]]
| Review of Localization of Protein Complexes by Pattern Recognition
+
| Review of electron microscopy
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Forster_Review]]
+
| [[2004Subramaniam_Review]]
| Review of structure determination by subtomogram averaging
+
| Review of single particles
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2008Forster_Classification]]
+
| [[2005Steven_Review]]
| Classification of subtomograms using constrained correlation
+
| Review of electron microscopy
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2008Bartesaghi_Classification]]
+
| [[2006Fernandez_Review]]
| Classification and averaging of subtomograms
+
| Review of electron microscopy
|-
+
|-
 +
 
 +
| Book
 +
| [[2006Frank_book]]
 +
| Book covering all aspects of electron microscopy of single particles
 +
|-  
  
 
| Paper
 
| Paper
| [[2008Schmid_Averaging]]
+
| [[2006Sorzano_Review]]
| Alignment and averaging of subtomograms
+
| Review of optimization problems in electron microscopy
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2010Amat_Averaging]]
+
| [[2007Leschziner_Review]]
| Alignment and averaging of subtomograms exploiting thresholding in Fourier space
+
| Review of 3D heterogeneity handling algorithms
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2010Yu_PPCA]]
+
| [[2007Sorzano_Review]]
| Probabilistic PCA for volume classification
+
| Review of the image processing steps
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Chen_Averaging]]
+
| [[2008Fanelli_ImageFormation]]
| Fast alignment of subtomograms using spherical harmonics
+
| Review on the image formation model from the electron waves and open inverse-problems in Electron Tomography
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Kuybeda_Averaging]]
+
| [[2008Fernandez_HPCReview]]
| Alignment and averaging of subtomograms using the nuclear norm of the cluster
+
| High performance computing in electron cryomicroscopy
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Shatsky_Averaging]]
+
| [[2008Jonic_Review]]
| Alignment and averaging of subtomograms with constrained cross-correlation
+
| Comparison between electron tomography and single particles
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2013Yu_Projection]]
+
| [[2008Mueller_Review]]
| Subtomogram averaging by aligning their projections
+
| Review of Electron microscopy
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2014Chen_Autofocus]]
+
| [[2008Taylor_Review]]
| Subtomogram averaging and classification with special attention to differences
+
| Review of Electron microscopy
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2014Yu_ReferenceBias]]
+
| [[2010DeRosier_Review]]
| Scoring the reference bias
+
| Personal account of how 3DEM developed in the early days
|-
+
|-
 +
 
 +
| Chapter
 +
| [[2012Sorzano_Review]]
 +
| Review of single particle analysis using Xmipp
 +
|-  
  
| Paper
+
| Chapter
| [[2014Voortman_LimitingFactors]]
+
| [[2012Devaux_Protocol]]
| Limiting factors of subtomogram averaging
+
| Protocols for performing single particle analysis
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2015Bharat_CTFCorrectedSubtomogramAveraging]]
+
| [[2014Bai_Review]]
| Subtomogram averaging with CTF correction using a Bayesian prior
+
| Recent advances in cryo-EM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Yu_ReferenceBias]]
+
| [[2015Carazo_Review]]
| Scoring the reference bias
+
| Review of the reconstruction process
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2016Bharat_Relion]]
+
| [[2015Cheng_Review]]
| Subtomogram averaging with Relion
+
| A primer to Single Particle Cryo-EM
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2016Song_MatrixNorm]]
+
| [[2015Cheng_Reviewb]]
| Matrix norm minimization for tomographic reconstruction and alignment
+
| Single Particle Cryo-EM at crystallographic resolution
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2017Castano_ParticlePicking]]
+
| [[2015Elmlund_Review]]
| Particle picking in tomograms for subtomogram averaging
+
| Recent advances in cryo-EM
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2017Frazier_Tomominer]]
+
| [[2015Henderson_Review]]
| TomoMiner a software platform for large-scale subtomogram analysis
+
| Recent advances in cryo-EM
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2018Himes_emClarity]]
+
| [[2015Nogales_Review]]
| emClarity for subtomogram averaging
+
| Recent advances in cryo-EM
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2018Zhao_Fast]]
+
| [[2015Schroeder_Review]]
| Fast alignment and maximum likelihod for subtomogram averaging
+
| Review of advances in the electron microscope
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2019Fokine_Enhancement]]
+
| [[2015VanDenBedem_Integrative]]
| Subtomogram enhancement through the locked self-rotation
+
| Review of integrative structural biology
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2019Han_Constrained]]
+
| [[2015Wu_Review]]
| Constrained reconstruction to enhance resolution
+
| Review of advances in cryo-EM
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2020Basanta_workflow]]
+
| [[2016Carroni_CryoEM]]
| Workflow for subtomogram averaging
+
| Review of advances in Cryo-EM
|-
+
|-  
  
|}
+
| Paper
 +
| [[2016Egelman_CryoEM]]
 +
| Review of advances in Cryo-EM
 +
|-
  
=== Single particle tomography ===
+
| Paper
 
+
| [[2016Eisenstein_CryoEM]]
{|
+
| News feature on the Method of the Year
 +
|-
  
 
| Paper
 
| Paper
| [[2012Bartesaghi_Constrained]]
+
| [[2016FernandezLeiro_Review]]
| 3D reconstruction by imposing geometrical constraints
+
| Review of EM
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2015Galaz_SingleParticleTomography]]
+
| [[2016Glaeser_HowGood]]
| Set of tools for Single Particle Tomography in EMAN2
+
| How good can cryo-EM become?
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Galaz_SingleParticleTomography]]
+
| [[2016Jonic_PseudoAtoms]]
| Alignment algorithms and CTF correction
+
| Review of the applications of the use of pseudoatoms in EM
 
|-  
 
|-  
  
|}
+
| Chapter
 
+
| [[2016Mio_Review]]
=== Single-molecule 3D structure ===
+
| Overview of the process to obtain EM reconstructions
 
+
|-
{|
 
  
 
| Paper
 
| Paper
| [[2012Zhang_IPET_FETR]]
+
| [[2016Jonic_Review]]
| FETR: a focused reconstruction algorithm for a single molecule 3D structure
+
| A review of computational ways to handle heterogeneity
|-
+
|-  
 
 
|}
 
 
 
=== Missing-wedge correction ===
 
 
 
{|
 
  
 
| Paper
 
| Paper
| [[2020Kovacs_Filaments]]
+
| [[2016Nogales_Review]]
| Removal of missing wedge artifacts in filamentous tomograms
+
| Review of advances in cryo-EM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2020Moebel_MCMC]]
+
| [[2016Subramaniam_Review]]
| Missing wedge correction with Monte Carlo Markov Chains
+
| Why cryo-EM is now suitable for crystallographic journals
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2020Zhai_LoTTor]]
+
| [[2016Vinothkumar_Review]]
| Missing-wedge correction by LoTTor ('''Lo'''w-'''T'''ilt '''T'''omographic 3D '''R'''econstruction for a single molecule structure)
+
| Historical review and current limitations
|-
+
|-  
  
|}
+
| Report
 +
| [[2017Brezinski_Nobel]]
 +
| Scientific background on the Nobel Prize in Chemistry 2017
 +
|-
  
=== Molecular 3D dynamics  ===
+
| Paper
 +
| [[2017Cheng_review]]
 +
| Why CryoEM became so hot
 +
|-
  
{|
+
| Paper
 +
| [[2017Danev_Review]]
 +
| Review of the use of phase plates in EM
 +
|-
  
 
| Paper
 
| Paper
| [[2015Zhang_IPET]]
+
| [[2017Elmlund_Review]]
| 3D structural fluctuation of macromoles)
+
| Review of the main current difficulties of EM
|-
+
|-  
  
|}
+
| Paper
 
+
| [[2017Frank_Review]]
=== Books and reviews ===
+
| Historical review of EM
 
+
|-
{|
 
  
 
| Paper
 
| Paper
| [[2000Baumeister_Review]]
+
| [[2017Frank_TimeResolved]]
| Review of electron tomography
+
| Review of time-resolved of EM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Koster_Review]]
+
| [[2017Jonic_Review]]
| Review of electron tomography
+
| Review of computational methods to analyze conformational variability
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2003Sali_Review]]
+
| [[2017Merino_DrugEM]]
| Review of electron tomography
+
| Applications of EM for drug design
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Henderson_Review]]
+
| [[2017Rawson_Limitations]]
| Review of electron microscopy
+
| Limitations of EM for drug design
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Lucic_Review]]
+
| [[2017Sorzano_FourierProperties]]
| Review of electron tomography
+
| Review of statistical properties of resolution measures defined in Fourier space
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Fernandez_Review]]
+
| [[2017Sorzano_SurveyIterative]]
| Review of electron microscopy
+
| Survey of iterative reconstruction methods for EM
 
|-  
 
|-  
  
| Book
+
| Paper
| [[2006Frank_TomoBook]]
+
| [[2018Bruggeman_Crowdsourcing]]
| Electron Tomography
+
| Exploring crowdsourcing for EM image processing
 
|-  
 
|-  
  
| Book
+
| Paper
| [[2007McIntosh_Book]]
+
| [[2018Cheng_Review]]
| Cellular Electron Microscopy
+
| Review of EM and future ahead
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Sorzano_Review]]
+
| [[2018Cossio_ML]]
| Review of the image processing steps
+
| Review of Maximum Likelihood methods
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Fanelli_ImageFormation]]
+
| [[2018Grimes_Crystallography]]
| Review on the image formation model from the electron waves and open inverse-problems
+
| Review of X-ray crystallography and its relationship to EM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Fernandez_HPCReview]]
+
| [[2018Murata_Review]]
| High performance computing in electron cryomicroscopy
+
| Review of EM for structure dynamics
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2008Jonic_Review]]
+
| [[2018Quentin_Biomedical]]
| Comparison between electron tomography and single particles
+
| Review of EM as a tool for biomedical research
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Kudryashev_Review]]
+
| [[2018Scapin_DrugDiscovery]]
| Review of subtomogram averaging
+
| Review of EM as a tool for drug discovery
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2013Briggs_Review]]
+
| [[2018Vilas_ImageProcessing]]
| Review of subtomogram averaging
+
| Review of the recent developments in image processing for single particle analysis
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Beck_Review]]
+
| [[2018vonLoeffelholz_VPP]]
| Review of molecular sociology
+
| Comparison of Volta Phase Plate reconstructions close to focus and with defocus
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Ercius_Review]]
+
| [[2018Eisenstein_DrugDesigners]]
| Electron tomography for hard and soft materials research
+
| Drug designers embrace cryo-EM
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Galaz_Review]]
+
| [[2019Benjin_Review]]
| Review of single particle tomography
+
| Review of SPA
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Plitzko_Review]]
+
| [[2019Danev_Review]]
| Review of electron tomography, FRET and FIB milling
+
| Review of future directions
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2019Schur_Review]]
+
| [[2019Lyumkis_Review]]
| Review of electron tomography and subtomogram averaging
+
| Challenges and reviews
 
|-  
 
|-  
  
|}
+
| Paper
 
+
| [[2019Sorzano_Review]]
=== Software ===
+
| Review of continuous heterogeneity biophysics
 +
|-
 +
 
 +
| Paper
 +
| [[2020Abriata_Review]]
 +
| Considerations of structure prediction and CryoEM
 +
|-
 +
 
 +
| Paper
 +
| [[2020Akbar_Review]]
 +
| Review of membrane protein reconstructions
 +
|-
 +
 
 +
| Paper
 +
| [[2020Bendory_Review]]
 +
| Review of image processing problems
 +
|-
 +
 
 +
| Paper
 +
| [[2020Dubach_Review]]
 +
| Review of resolution in X-ray crystallography and CryoEM
 +
|-
 +
 
 +
| TechReport
 +
| [[2020Lai_Statistics]]
 +
| Review of statistical properties of image alignment
 +
|-
 +
 
 +
| Paper
 +
| [[2020Hu_Quaternions]]
 +
| Review of the use of quaternions to describe rotations
 +
|-
 +
 
 +
| Paper
 +
| [[2020McCafferty_Review]]
 +
| Review of SPA and Mass Spectroscopy
 +
|-
 +
 
 +
| Paper
 +
| [[2020Seffernick_Hybrid]]
 +
| Review of hybrid (computational and experimental) methods to get protein structure
 +
|-
 +
 
 +
| Paper
 +
| [[2020Nakane_Atomic]]
 +
| Single-particle cryo-EM at atomic resolution
 +
|-
 +
 
 +
| Paper
 +
| [[2020Vilas_Review]]
 +
| Review of local resolution
 +
|-
 +
 
 +
| Paper
 +
| [[2020Wu_Review]]
 +
| Review of current limitations, with special emphasis on protein size
 +
|-
 +
 
 +
| Paper
 +
| [[2020Singer_Sigworth_Review]]
 +
| Review of single particle analysis
 +
|-
 +
 
 +
| Paper
 +
| [[2021Bai_Review]]
 +
| Review of breakthroughs leading to atomic resolution
 +
|-
 +
 
 +
| Paper
 +
| [[2021DImprima_Review]]
 +
| Review of sample preparation for single particle analysis
 +
|-
 +
 
 +
| Paper
 +
| [[2021Lander_Review]]
 +
| Review of focused analysis in SPA
 +
|-
 +
 
 +
| Paper
 +
| [[2021Raimondi_Review]]
 +
| General review of SPA
 +
|-
 +
 
 +
| Paper
 +
| [[2022Beton_Fitting]]
 +
| Review of fitting in SPA
 +
|-
 +
 
 +
| Paper
 +
| [[2022Burley_PDB]]
 +
| Review of cryoEM derived structures at PDB
 +
|-
 +
 
 +
| Paper
 +
| [[2022Caldraft_Tilt]]
 +
| Review of applications of tilt pairs in SPA
 +
|-
 +
 
 +
| Paper
 +
| [[2022Donnat_GAN]]
 +
| Review of Generative modelling with neural networks
 +
|-
 +
 
 +
| Paper
 +
| [[2022Guaita_Review]]
 +
| Recent advances and current trends in cryo-electron microscopy
 +
|-
 +
 
 +
| Paper
 +
| [[2022Jones_Comment]]
 +
| Comment on the impact of AlphaFold and next challenges ahead
 +
|-
 +
 
 +
| Paper
 +
| [[2022Namba_Review]]
 +
| Review of the current state of SPA
 +
|-
 +
 
 +
| Paper
 +
| [[2022Ourmazd_Comment]]
 +
| Comment on the impact of AlphaFold and next challenges ahead
 +
|-
 +
 
 +
| Paper
 +
| [[2022Palmer_Local]]
 +
| Review of local methods in CryoEM
 +
|-
 +
 
 +
| Paper
 +
| [[2022Sorzano_1000]]
 +
| CryoEM is the field of 1000+ methods
 +
|-
 +
 
 +
| Paper
 +
| [[2022Subramaniam_Comment]]
 +
| Comment on the impact of AlphaFold and next challenges ahead
 +
|-
 +
 
 +
| Paper
 +
| [[2022Treder_DL]]
 +
| Review of Deep Learning applications in CryoEM
 +
|-
 +
 
 +
| Paper
 +
| [[2022Vant_MD]]
 +
| Review of Molecular Dynamics analysis of CryoEM maps
 +
|-
 +
 
 +
| Paper
 +
| [[2023Amann_TimeResolved]]
 +
| Review of time-resolved cryoEM
 +
|-
 +
 
 +
| Paper
 +
| [[2023Bai_Challenges]]
 +
| Challenges and opportunities in structure determination
 +
|-
 +
 
 +
| Paper
 +
| [[2023Liu_AWI]]
 +
| Review of the Air-Water Interface
 +
|-
 +
 
 +
| Paper
 +
| [[2023Lucas_Structureome]]
 +
| Review of the localization of proteins and complexes in their cellular context
 +
|-
 +
 
 +
| Paper
 +
| [[2023Miyashita_MD]]
 +
| Review of the use of molecular dynamics in atomic modelling
 +
|-
 +
 
 +
| Paper
 +
| [[2023Si_DeNovo]]
 +
| Review of the de-novo atomic modelling
 +
|-
 +
 
 +
| Paper
 +
| [[2023Tang_Conformational]]
 +
| Review of conformational heterogeneity and probability distributions
 +
|-
 +
 
 +
| Paper
 +
| [[2023Toader_Heterogeneity]]
 +
| Review of continuous heterogeneity
 +
|-
 +
 
 +
|}
 +
 
 +
=== Software ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[1996Frank_Spider]]
 +
| Spider
 +
|-
 +
 
 +
| Paper
 +
| [[1996VanHeel_Imagic]]
 +
| Imagic
 +
|-
 +
 
 +
| Paper
 +
| [[1999Lutdke_Eman]]
 +
| Eman
 +
|-
 +
 
 +
| Paper
 +
| [[2004Sorzano_Xmipp]]
 +
| Xmipp
 +
|-
 +
 
 +
| Paper
 +
| [[2007Baldwin_AngularTransformations]]
 +
| The Transform Class in SPARX and EMAN2
 +
|-
 +
 
 +
| Paper
 +
| [[2007Heymann_Bsoft]]
 +
| Bsoft
 +
|-
 +
 
 +
| Paper
 +
| [[2007Grigorieff_Frealign]]
 +
| Frealign
 +
|-
 +
 
 +
| Paper
 +
| [[2008Scheres_XmippProtocols]]
 +
| Xmipp Protocols
 +
|-
 +
 
 +
| Paper
 +
| [[2008Shaikh_SpiderProtocols]]
 +
| Spider Protocols
 +
|-
 +
 
 +
| Paper
 +
| [[2012Wriggers_SitusConventions]]
 +
| Conventions and workflows in Situs
 +
|-
 +
 
 +
| Paper
 +
| [[2013DeLaRosa_Xmipp30]]
 +
| Xmipp 3.0
 +
|-
 +
 
 +
| Paper
 +
| [[2015Cianfrocco_Cloud]]
 +
| Software execution in the cloud
 +
|-
 +
 
 +
| Paper
 +
| [[2015Cheng_MRC2014]]
 +
| Extensions to MRC file format
 +
|-
 +
 
 +
| Paper
 +
| [[2013DeLaRosa_Scipion]]
 +
| Scipion
 +
|-
 +
 
 +
| Paper
 +
| [[2016Scheres_Relion]]
 +
| Tutorial on the use of Relion
 +
|-
 +
 
 +
| Paper
 +
| [[2016Grigorieff_Frealign]]
 +
| Tutorial on the use of Frealign
 +
|-
 +
 
 +
| Paper
 +
| [[2017Moriya_Sphire]]
 +
| Tutorial on the use of Sphire
 +
|-
 +
 
 +
| Paper
 +
| [[2018Bell_EMAN2]]
 +
| New tools in EMAN2
 +
|-
 +
 
 +
| Paper
 +
| [[2018Cianfrocco_cloud]]
 +
| CryoEM Cloud Tools
 +
|-
 +
 
 +
| Paper
 +
| [[2018Grant_cisTEM]]
 +
| cisTEM
 +
|-
 +
 
 +
| Paper
 +
| [[2018McLeod_MRCZ]]
 +
| MRC Compression format
 +
|-
 +
 
 +
| Paper
 +
| [[2018Zivanov_Relion3]]
 +
| Relion 3
 +
|-
 +
 
 +
| Paper
 +
| [[2020Caesar_Simple3]]
 +
| Simple 3
 +
|-
 +
 
 +
| Paper
 +
| [[2021Baldwin_SCF]]
 +
| Visualizer of the Sampling Compensation Factor
 +
|-
 +
 
 +
| Paper
 +
| [[2021Jimenez_Scipion]]
 +
| Scipion workflow example for image processing
 +
|-
 +
 
 +
| Paper
 +
| [[2021Kimanius_Relion4]]
 +
| Changes in Relion 4.0
 +
|-
 +
 
 +
| Paper
 +
| [[2021Maji_BlackBox]]
 +
| Exploration of image processing concepts
 +
|-
 +
 
 +
| Paper
 +
| [[2021Sharov_Relion]]
 +
| Use of Relion within Scipion
 +
|-
 +
 
 +
| Paper
 +
| [[2021Sorzano_Scipion]]
 +
| Use of Scipion as a way to compare the results of multiple methods
 +
|-
 +
 
 +
| Paper
 +
| [[2021Strelak_Xmipp]]
 +
| Advances in Xmipp
 +
|-
 +
 
 +
| Paper
 +
| [[2022DiIorio_Multiple]]
 +
| A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion.
 +
|-
 +
 
 +
| Paper
 +
| [[2022Fluty_Precision]]
 +
| Precision requirements and data compression
 +
|-
 +
 
 +
| Paper
 +
| [[2022Harastani_ContinuousFlex]]
 +
| ContinuousFlex: Software for continuous heterogeneity analysis in cryo-EM and cryo-ET
 +
|-
 +
 
 +
| Paper
 +
| [[2023Cheng_AutoEMage]]
 +
| AutoEMage: a system for processing in streaming (SPA)
 +
|-
 +
 
 +
| Paper
 +
| [[2023Conesa_Scipion3]]
 +
| Scipion3: A workflow engine for cryoEM
 +
|-
 +
 
 +
| Paper
 +
| [[2023Krieger_ScipionPrody]]
 +
| Scipion-EM-Prody: Interface between Scipion and Prody (Structural Analysis)
 +
|-
 +
 
 +
| Paper
 +
| [[2023Short_MRC2020]]
 +
| MRC2020: improvements to Ximdisp and the MRC image-processing programs
 +
|-
 +
 
 +
| Paper
 +
| [[2024Vuillemot_MDSPACE]]
 +
| MDSpace and MDTomo to analyze continuous heterogeneity
 +
|-
 +
 
 +
|}
 +
 
 +
== Electron tomography ==
 +
 
 +
=== Image preprocessing ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[2015Yan_thickness]]
 +
| Determination of thickness, tilt and electron mean free path
 +
|-
 +
 
 +
| Paper
 +
| [[2018Wu_contrast]]
 +
| Contrast enhancement to improve alignability
 +
|-
 +
 
 +
|}
 +
 
 +
=== Image alignment ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[1982Guckenberger_commonOrigin]]
 +
| Determination of a common origin in the micrographs of titl series in three-dimensional electron microscopy
 +
|-
 +
 
 +
| Paper
 +
| [[1992Lawrence_leastSquares]]
 +
| Least squares solution of the alignment problem
 +
|-
 +
 
 +
| Paper
 +
| [[1995Penczek_dual]]
 +
| Dual tilt alignment
 +
|-
 +
 
 +
| Paper
 +
| [[1996Owen_alignmentQuality]]
 +
| Automatic alignment without fiducial markers and evaluation of alignment quality
 +
|-
 +
 
 +
| Paper
 +
| [[1998Grimm_normalization]]
 +
| Discussion of several gray level normalization methods for electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2001Brandt_Automatic1]]
 +
| Automatic alignment without fiducial markers
 +
|-
 +
 
 +
| Paper
 +
| [[2001Brandt_Automatic2]]
 +
| Automatic alignment with fiducial markers
 +
|-
 +
 
 +
| Paper
 +
| [[2006Winkler_alignment]]
 +
| Marker-free alignment and refinement
 +
|-
 +
 
 +
| Paper
 +
| [[2006Castano_alignment]]
 +
| Alignment with non-perpendicularity
 +
|-
 +
 
 +
| Paper
 +
| [[2007Castano_alignment]]
 +
| Fiducial-less alignment of cryo-sections
 +
|-
 +
 
 +
| Paper
 +
| [[2009Sorzano_alignment]]
 +
| Marker-free alignment and refinement
 +
|-
 +
 
 +
| Paper
 +
| [[2010Cantele_dualAlignment]]
 +
| Alignment of dual series
 +
|-
 +
 
 +
| Paper
 +
| [[2014Tomonaga_Automatic]]
 +
| Automatic alignment of tilt series using the projection themselves
 +
|-
 +
 
 +
| Paper
 +
| [[2014Han_Automatic]]
 +
| Automatic alignment of tilt series using SIFT features
 +
|-
 +
 
 +
| Paper
 +
| [[2015Han_Automatic]]
 +
| Automatic alignment of tilt series using fiducials
 +
|-
 +
 
 +
| Paper
 +
| [[2017Mastronarde_Automatic]]
 +
| Automatic alignment and reconstruction of tilt series in IMOD
 +
|-
 +
 
 +
| Paper
 +
| [[2018Fernadez_Beam]]
 +
| Image alignment considering beam induced motion
 +
|-
 +
 
 +
| Paper
 +
| [[2018Han_Fast]]
 +
| Automatic alignment using fiducial markers
 +
|-
 +
 
 +
| Paper
 +
| [[2019Fernandez_residual]]
 +
| Alignment of tilt series using residual interpolation
 +
|-
 +
 
 +
| Paper
 +
| [[2019Han_Dual]]
 +
| Automatic alignment using fiducial markers in dual tilt series
 +
|-
 +
 
 +
| Paper
 +
| [[2020Sorzano_automatic]]
 +
| Automatic alignment considering several geometrical distortions
 +
|-
 +
 
 +
| Paper
 +
| [[2021Han_LocalConstraints]]
 +
| Automatic alignment considering local constraints
 +
|-
 +
 
 +
| Paper
 +
| [[2022Zheng_Aretomo]]
 +
| Automatic alignment based on projection matching
 +
|-
 +
 
 +
|}
 +
 
 +
=== CTF estimation and restoration ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[2003Winkler_CTF]]
 +
| Focus gradient correction in electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2006Fernandez_CTF]]
 +
| CTF determination and correction in electron tomography
 +
|-
 +
 
 +
 
 +
| Paper
 +
| [[2009Zanetti_CTF]]
 +
| CTF determination and correction in electron tomography
 +
|-
 +
 
 +
 
 +
| Paper
 +
| [[2009Xiong_CTF]]
 +
| CTF determination and correction for low dose tomographic tilt series
 +
|-
 +
 
 +
| Paper
 +
| [[2012Eibauer_CTF]]
 +
| CTF determination and correction
 +
|-
 +
 
 +
| Paper
 +
| [[2015Bharat_CTFCorrectedSubtomogramAveraging]]
 +
| Subtomogram averaging with CTF correction using a Bayesian prior
 +
|-
 +
 
 +
| Paper
 +
| [[2017Turonova_3DCTF]]
 +
| 3D CTF Correction
 +
|-
 +
 
 +
| Paper
 +
| [[2017Kunz_3DCTF]]
 +
| 3D CTF Correction
 +
|-
 +
 
 +
|}
 +
 
 +
=== 3D reconstruction ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[1972Gilbert_SIRT]]
 +
| Simultaneous Iterative Reconstruction Technique (SIRT)
 +
|-
 +
 
 +
| Paper
 +
| [[1973Herman_ART]]
 +
| Algebraic Reconstruction Technique (ART)
 +
|-
 +
 
 +
| Paper
 +
| [[1984Andersen_SART]]
 +
| Simultaneous Algebraic Reconstruction Technique (SART)
 +
|-
 +
 
 +
| Paper
 +
| [[1992Radermacher_WBP]]
 +
| Weighted Backprojection in electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[1997Marabini_reconstruction]]
 +
| Iterative reconstruction in electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2002Fernandez_reconstruction]]
 +
| Iterative reconstruction in electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2007Radermacher_WBP]]
 +
| Weighted Backprojection in electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2008Fernandez_CARP]]
 +
| Component Averaged Row Projections (CARP)
 +
|-
 +
 
 +
| Paper
 +
| [[2010Xu_Long]]
 +
| Iterative reconstructions with long object correction and GPU implementation
 +
|-
 +
 
 +
| Paper
 +
| [[2012Herman General Superiorization]]
 +
| Superiorization: an optimization heuristic for medical physics
 +
|-
 +
 
 +
| Paper
 +
| [[2012Zhang_IPET_FETR]]
 +
| IPET and FETR, a reconstruction algorithm for a single particle structure determination without any averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2013Goris_SIRT_TV_DART]]
 +
| Combination of SIRT, Total Variation and Discrete ART to reconstruct and segment at the same time
 +
|-
 +
 
 +
| Paper
 +
| [[2013Briegel A_Challenge]]
 +
| The challenge of determining handedness in electron tomography and the use of DNA origami gold nanoparticle helices as molecular standards
 +
|-
 +
 
 +
| Paper
 +
| [[2013Messaoudi_EnergyFiltered]]
 +
| 3D Reconstruction of Energy-Filtered TEM
 +
|-
 +
 
 +
| Paper
 +
| [[2014Paavolainen_Missing]]
 +
| Compensation of the missing wedge
 +
|-
 +
 
 +
| Paper
 +
| [[2015Venkatakrishnan_MBIR]]
 +
| 3D Reconstruction with priors
 +
|-
 +
 
 +
| Paper
 +
| [[2016Deng_ICON]]
 +
| 3D Reconstruction with missing information restoration
 +
|-
 +
 
 +
| Paper
 +
| [[2016Guay_Compressed]]
 +
| 3D Reconstruction using compressed sensing
 +
|-
 +
 
 +
| Paper
 +
| [[2016Turonova_Artifacts]]
 +
| Artifacts observed during 3D reconstruction
 +
|-
 +
 
 +
| Paper
 +
| [[2019Yan_MBIR]]
 +
| 3D Reconstruction with priors and demonstration of its use in biological samples
 +
|-
 +
 
 +
| Paper
 +
| [[2020Sanchez_Hybrid]]
 +
| 3D reconstruction with a special acquisition and alignment scheme
 +
|-
 +
 
 +
| Paper
 +
| [[2020Song_Tygress]]
 +
| 3D reconstruction with a special acquisition and alignment scheme
 +
|-
 +
 
 +
| Paper
 +
| [[2021Fernandez_TomoAlign]]
 +
| 3D reconstruction with sample motion and CTF correction
 +
|-
 +
 
 +
| Paper
 +
| [[2021Geng_Nudim]]
 +
| Non-uniform FFT reconstruction and total variation to fill the missing wedge
 +
|-
 +
 
 +
|}
 +
 
 +
=== Noise reduction ===
 +
{|
 +
 
 +
| Paper
 +
| [[2001Frangakis_NAD]]
 +
| Noise reduction with Nonlinear Anisotropic Diffusion
 +
|-
 +
 
 +
| Paper
 +
| [[2003Fernandez_AND]]
 +
| Anisotropic nonlinear diffusion for electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2003Jiang_Bilateral]]
 +
| Bilateral denoising filter in electron microscopy
 +
|-
 +
 
 +
| Paper
 +
| [[2005Fernandez_AND]]
 +
| Anisotropic nonlinear denoising in electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2007Heide_median]]
 +
| Iterative median filtering in electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2007Fernandez_autAND]]
 +
| Anisotropic nonlinear diffusion with automated parameter tuning
 +
|-
 +
 
 +
| Paper
 +
| [[2009Fernandez_Beltrami]]
 +
| Nonlinear filtering based on Beltrami flow
 +
|-
 +
 +
| Paper
 +
| [[2010Bilbao_MeanShift]]
 +
| Mean Shift Filtering
 +
|-
 +
 
 +
| Paper
 +
| [[2014Kovacik_wedgeArtefacts]]
 +
| Removal of wedge artefacts
 +
|-
 +
 
 +
| Paper
 +
| [[2014Maiorca_beadArtefacts]]
 +
| Removal of gold bead artefacts
 +
|-
 +
 
 +
| Paper
 +
| [[2018Trampert_Inpainting]]
 +
| Removal of the missing wedge by inpainting
 +
|-
 +
 
 +
| Paper
 +
| [[2018Moreno_TomoEED]]
 +
| Fast Anisotropic Diffusion
 +
|-
 +
 
 +
| Paper
 +
| [[2018Wu_Enhancement]]
 +
| Enhancing the image contrast of electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2022Liu_Isonet]]
 +
| Isotropic reconstructions using deep learning
 +
|-
 +
 
 +
|}
 +
 
 +
=== Segmentation ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[2002Frangakis_Eigenanalysis]]
 +
| Segmentation using eigenvector analysis.
 +
|-
 +
 
 +
| Paper
 +
| [[2002Volkmann_Watershed]]
 +
| Segmentation using watershed transform.
 +
|-
 +
 
 +
| Paper
 +
| [[2003Bajaj_BoundarySegmentation]]
 +
| Segmentation based on fast marching.
 +
|-
 +
 
 +
| Paper
 +
| [[2005Cyrklaff_Thresholding]]
 +
| Segmentation using optimal thresholding.
 +
|-
 +
 
 +
| Paper
 +
| [[2007Lebbink_TemplateMatching]]
 +
| Segmentation using template matching.
 +
|-
 +
 
 +
| Paper
 +
| [[2007Sandberg_OrientationFields]]
 +
| Segmentation using orientation fields.
 +
|-
 +
 
 +
| Paper
 +
| [[2007Sandberg_SegmentationReview]]
 +
| Review on segmentation in electron tomography.
 +
|-
 +
 
 +
| Paper
 +
| [[2008Garduno_FuzzySegmentation]]
 +
| Segmentation using fuzzy set theory principles.
 +
|-
 +
 
 +
| Paper
 +
| [[2009Lebbink_TemplateMatching2]]
 +
| Segmentation using template matching.
 +
|-
 +
 
 +
| Paper
 +
| [[2012RubbiyaAli_EdgeDetection]]
 +
| Parameter-Free Segmentation of Macromolecular Structures.
 +
|-
 +
 
 +
| Conference
 +
| [[2015Xu_TemplateMatching]]
 +
| Detection of macromolecular complexes with a reduced representation of the templates.
 +
|-
 +
 
 +
| Paper
 +
| [[2017Ali_RAZA]]
 +
| Automated segmentation of tomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2017Chen_Annotation]]
 +
| Automated annotation of tomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2017Tasel_ActiveContours]]
 +
| Segmentation with active contours
 +
|-
 +
 
 +
| Paper
 +
| [[2017Xu_DeepLearning]]
 +
| Finding proteins in tomograms using deep learning
 +
|-
 +
 
 +
| Paper
 +
| [[2018Zeng_DeepLearning]]
 +
| Mining features in Electron Tomography by deep learning
 +
|-
 +
 
 +
| Paper
 +
| [[2020Salfer_PyCurv]]
 +
| Curvature analysis of segmented tomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2021Dimchev_filaments]]
 +
| Segmentation of filaments in tomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2022Frangakis_Curvature]]
 +
| Use of mean curvature for segmentation and visualization of tomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2022Lamm_MemBrain]]
 +
| Membrane segmentation using deep learning
 +
|-
 +
 
 +
| Paper
 +
| [[2023Zeng_AITOM]]
 +
| Structural pattern mining by unsupervised deep iterative subtomogram clustering
 +
|-
 +
 
 +
|}
 +
 
 +
=== Resolution ===
 +
{|
 +
 
 +
| Paper
 +
| [[2005Cardone_Resolution]]
 +
| Resolution criterion for electron tomography
 +
|-
 +
 
 +
| Chapter
 +
| [[2007Penczek_Resolution]]
 +
| Review of resolution criteria for electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2015Diebolder_ConicalFSC]]
 +
| Conical Fourier Shell Correlation
 +
|-
 +
 
 +
| Paper
 +
| [[2020Vilas_Monotomo]]
 +
| Resolution determination in tomograms
 +
|-
 +
 
 +
|}
 +
 
 +
=== Subtomogram analysis ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[2000Bohm_Template]]
 +
| Macromolecule finding by template matching
 +
|-
 +
 
 +
| Paper
 +
| [[2002Frangakis_Template]]
 +
| Macromolecule finding by template matching
 +
|-
 +
 
 +
| Paper
 +
| [[2006Nickell_Review]]
 +
| Review of macromolecule finding by template matching (Visual Proteomics)
 +
|-
 +
 
 +
| Paper
 +
| [[2007Best_Review]]
 +
| Review of Localization of Protein Complexes by Pattern Recognition
 +
|-
 +
 
 +
| Paper
 +
| [[2007Forster_Review]]
 +
| Review of structure determination by subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2008Forster_Classification]]
 +
| Classification of subtomograms using constrained correlation
 +
|-
 +
 
 +
| Paper
 +
| [[2008Bartesaghi_Classification]]
 +
| Classification and averaging of subtomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2008Schmid_Averaging]]
 +
| Alignment and averaging of subtomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2010Amat_Averaging]]
 +
| Alignment and averaging of subtomograms exploiting thresholding in Fourier space
 +
|-
 +
 
 +
| Paper
 +
| [[2010Yu_PPCA]]
 +
| Probabilistic PCA for volume classification
 +
|-
 +
 
 +
| Paper
 +
| [[2013Chen_Averaging]]
 +
| Fast alignment of subtomograms using spherical harmonics
 +
|-
 +
 
 +
| Paper
 +
| [[2013Kuybeda_Averaging]]
 +
| Alignment and averaging of subtomograms using the nuclear norm of the cluster
 +
|-
 +
 
 +
| Paper
 +
| [[2013Shatsky_Averaging]]
 +
| Alignment and averaging of subtomograms with constrained cross-correlation
 +
|-
 +
 
 +
| Paper
 +
| [[2013Yu_Projection]]
 +
| Subtomogram averaging by aligning their projections
 +
|-
 +
 
 +
| Paper
 +
| [[2014Chen_Autofocus]]
 +
| Subtomogram averaging and classification with special attention to differences
 +
|-
 +
 
 +
| Paper
 +
| [[2014Yu_ReferenceBias]]
 +
| Scoring the reference bias
 +
|-
 +
 
 +
| Paper
 +
| [[2014Voortman_LimitingFactors]]
 +
| Limiting factors of subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2015Bharat_CTFCorrectedSubtomogramAveraging]]
 +
| Subtomogram averaging with CTF correction using a Bayesian prior
 +
|-
 +
 
 +
| Paper
 +
| [[2015Yu_ReferenceBias]]
 +
| Scoring the reference bias
 +
|-
 +
 
 +
| Paper
 +
| [[2016Bharat_Relion]]
 +
| Subtomogram averaging with Relion
 +
|-
 +
 
 +
| Paper
 +
| [[2016Song_MatrixNorm]]
 +
| Matrix norm minimization for tomographic reconstruction and alignment
 +
|-
 +
 
 +
| Paper
 +
| [[2017Castano_ParticlePicking]]
 +
| Particle picking in tomograms for subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2017Frazier_Tomominer]]
 +
| TomoMiner a software platform for large-scale subtomogram analysis
 +
|-
 +
 
 +
| Paper
 +
| [[2018Himes_emClarity]]
 +
| emClarity for subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2018Zhao_Fast]]
 +
| Fast alignment and maximum likelihod for subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2019Fokine_Enhancement]]
 +
| Subtomogram enhancement through the locked self-rotation
 +
|-
 +
 
 +
| Paper
 +
| [[2019Han_Constrained]]
 +
| Constrained reconstruction to enhance resolution
 +
|-
 +
 
 +
| Paper
 +
| [[2020Basanta_workflow]]
 +
| Workflow for subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2021Cheng_Native]]
 +
| 3D reconstruction only with 0-tilt images
 +
|-
 +
 
 +
| Paper
 +
| [[2021Du_Active]]
 +
| Active learning to reduce the need of annotated samples
 +
|-
 +
 
 +
| Paper
 +
| [[2021Harastani_HEMNMA3D]]
 +
| HEMNMA-3D: Continuous flexibility analysis of subtomograms using normal modes
 +
|-
 +
 
 +
| Paper
 +
| [[2021Lucas_Cistem]]
 +
| Identification of particles in tomograms using Cistem
 +
|-
 +
 
 +
| Paper
 +
| [[2021Scaramuzza_Dynamo]]
 +
| Subtomogram averaging workflow using Dynamo
 +
|-
 +
 
 +
| Paper
 +
| [[2021Singla_Measures]]
 +
| Analysis of different measures to analyze subtomogram clusters
 +
|-
 +
 
 +
| Paper
 +
| [[2021Tegunov_M]]
 +
| Image processing workflow for tilt-series (introduction of M)
 +
|-
 +
 
 +
| Conference
 +
| [[2021Zeng_OpenSet]]
 +
| Unsupervised open set classification using deep learning
 +
|-
 +
 
 +
| Paper
 +
| [[2022Boehning_CompressedSensing]]
 +
| Compressed sensing for subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2022Hao_Picking]]
 +
| Detection of molecules in tomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2022Harastani_TomoFlow]]
 +
| TomoFlow: Continuous flexibility analysis of subtomograms using 3D dense optical flow
 +
|-
 +
 
 +
| Paper
 +
| [[2022Metskas_STA]]
 +
| Tricks for a better Subtomogram Averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2022Moebel_unsupervised]]
 +
| Unsupervised classification of subtomograms using neural networks
 +
|-
 +
 
 +
| Paper
 +
| [[2022Peters_Feature]]
 +
| Feature guided, focused 3D signal permutation for STA
 +
|-
 +
 
 +
| Paper
 +
| [[2023Balyschew_TomoBEAR]]
 +
| TomoBEAR: tilt series alignment, reconstruction and subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2023Chaillet_Extensive]]
 +
| Extensive angular sampling for picking in tomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2023Cheng_GisSPA]]
 +
| Detection of protein targets in 0-tilt images
 +
|-
 +
 
 +
| Paper
 +
| [[2023Genthe_PickYolo]]
 +
| Subtomogram picking in tomograms
 +
|-
 +
 
 +
|}
 +
 
 +
=== Single particle tomography ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[2012Bartesaghi_Constrained]]
 +
| 3D reconstruction by imposing geometrical constraints
 +
|-
 +
 
 +
| Paper
 +
| [[2012Zhang_IPET_FETR]]
 +
| FETR: a focused reconstruction algorithm for a single molecule 3D structure determination without any averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2015Galaz_SingleParticleTomography]]
 +
| Set of tools for Single Particle Tomography in EMAN2
 +
|-
 +
 
 +
| Paper
 +
| [[2016Galaz_SingleParticleTomography]]
 +
| Alignment algorithms and CTF correction
 +
|-
 +
 
 +
|}
 +
 
 +
=== Missing-wedge correction ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[2020Kovacs_Filaments]]
 +
| Removal of missing wedge artifacts in filamentous tomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2020Moebel_MCMC]]
 +
| Missing wedge correction with Monte Carlo Markov Chains
 +
|-
 +
 
 +
| Paper
 +
| [[2020Zhai_LoTTor]]
 +
| Missing-wedge correction by LoTTor ('''Lo'''w-'''T'''ilt '''T'''omographic 3D '''R'''econstruction for a single molecule structure)
 +
|-
 +
 
 +
| Paper
 +
| [[2023Zhang_REST]]
 +
| Missing-wedge correction with neural networks
 +
|-
 +
 
 +
|}
 +
 
 +
=== Molecular 3D dynamics  ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[2015Zhang_IPET]]
 +
| 3D Structural Dynamics of Macromolecules by individual-particle structures without averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2023Vuillemot_MDTOMO]]
 +
| 3D Structural Dynamics of using molecular dynamics and normal modes
 +
|-
 +
 
 +
|}
 +
 
 +
=== Books and reviews ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[2000Baumeister_Review]]
 +
| Review of electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2003Koster_Review]]
 +
| Review of electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2003Sali_Review]]
 +
| Review of electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2004Henderson_Review]]
 +
| Review of electron microscopy
 +
|-
 +
 
 +
| Paper
 +
| [[2005Lucic_Review]]
 +
| Review of electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2006Fernandez_Review]]
 +
| Review of electron microscopy
 +
|-
 +
 
 +
| Book
 +
| [[2006Frank_TomoBook]]
 +
| Electron Tomography
 +
|-
 +
 
 +
| Book
 +
| [[2007McIntosh_Book]]
 +
| Cellular Electron Microscopy
 +
|-
 +
 
 +
| Paper
 +
| [[2007Sorzano_Review]]
 +
| Review of the image processing steps
 +
|-
 +
 
 +
| Paper
 +
| [[2008Fanelli_ImageFormation]]
 +
| Review on the image formation model from the electron waves and open inverse-problems
 +
|-
 +
 
 +
| Paper
 +
| [[2008Fernandez_HPCReview]]
 +
| High performance computing in electron cryomicroscopy
 +
|-
 +
 
 +
| Paper
 +
| [[2008Jonic_Review]]
 +
| Comparison between electron tomography and single particles
 +
|-
 +
 
 +
| Paper
 +
| [[2012Kudryashev_Review]]
 +
| Review of subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2013Briggs_Review]]
 +
| Review of subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2016Beck_Review]]
 +
| Review of molecular sociology
 +
|-
 +
 
 +
| Paper
 +
| [[2016Ercius_Review]]
 +
| Electron tomography for hard and soft materials research
 +
|-
 +
 
 +
| Paper
 +
| [[2017Galaz_Review]]
 +
| Review of single particle tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2017Plitzko_Review]]
 +
| Review of electron tomography, FRET and FIB milling
 +
|-
 +
 
 +
| Paper
 +
| [[2019Schur_Review]]
 +
| Review of electron tomography and subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2021Frangakis_Review]]
 +
| Review of tomogram denoising in electron tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2022Forster_Review]]
 +
| Review of subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2022Liedtke_Review]]
 +
| Review of electron tomography in bacterial cell biology
 +
|-
 +
 
 +
| Paper
 +
| [[2022Liu_Review]]
 +
| Review of beam image shift and subtomogram averaging
 +
|-
 +
 
 +
| Paper
 +
| [[2023Kim_Review]]
 +
| Review of particle picking and volume segmentation
 +
|-
 +
 
 +
| Paper
 +
| [[2023Ochner_Review]]
 +
| Review of electron tomography as a way to visualize macromolecules in their native environment
 +
|-
 +
 
 +
| Paper
 +
| [[2023Zhao_Review]]
 +
| Review of computational methods for electron tomography
 +
|-
 +
 
 +
|}
 +
 
 +
=== Software ===
 +
 
 +
{|
 +
 
 +
| Paper
 +
| [[1996Kremer_IMOD]]
 +
| IMOD
 +
|-
 +
 
 +
| Paper
 +
| [[1996Chen_Priism/IVE]]
 +
| Priism/IVE
 +
|-
 +
 
 +
| Paper
 +
| [[1996Frank_Spider]]
 +
| Spider
 +
|-
 +
 
 +
| Paper
 +
| [[2004Sorzano_Xmipp]]
 +
| Xmipp
 +
|-
 +
 
 +
| Paper
 +
| [[2005Nickell_TOM]]
 +
| TOM Toolbox
 +
|-
 +
 
 +
| Paper
 +
| [[2007Messaoudi_TomoJ]]
 +
| TomoJ
 +
|-
 +
 
 +
| Paper
 +
| [[2008Heymann_BsoftTomo]]
 +
| Bsoft
 +
|-
 +
 
 +
| Paper
 +
| [[2012Zhang IPET FETR]]
 +
| IPET
 +
|-
 +
 
 +
| Paper
 +
| [[2015Ding_CaltechTomography]]
 +
| Caltech tomography database
 +
|-
 +
 
 +
| Paper
 +
| [[2015Noble_AppionProtomo]]
 +
| Batch fiducial-less tilt-series alignment in Appion using Protomo
 +
|-
 +
 
 +
| Paper
 +
| [[2015vanAarle_Astra]]
 +
| ASTRA Toolbox
 +
|-
 +
 
 +
| Paper
 +
| [[2016Liu_FullMechTomo]]
 +
| Fully mechanically controlled automated electron microscopic tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2017Han_AuTom]]
 +
| Software platform for Electron Tomography
 +
|-
 +
 
 +
| Paper
 +
| [[2017Wan_Simulator]]
 +
| Electron Tomography Simulator
 +
|-
 +
 
 +
| Paper
 +
| [[2021Burt_RWD]]
 +
| Interoperability between Relion, Warp M, and Dynamo
 +
|-
 +
 
 +
| Paper
 +
| [[2022Jimenez_ScipionTomo]]
 +
| Electron tomography within Scipion
 +
|-
 +
 
 +
 
 +
| Paper
 +
| [[2022Martinez_PyOrg]]
 +
| Point pattern analysis for coordinates in tomograms
 +
|-
 +
 
 +
| Paper
 +
| [[2022Ni_EmClarity]]
 +
| Processing protocols with EmClarity
 +
|-
 +
 
 +
| Paper
 +
| [[2023Liu_NextPYP]]
 +
| NextPYP: a software platform for cryoET
 +
|-
 +
 
 +
|}
 +
 
 +
== 2D Crystals ==
 +
 
 +
=== 2D Preprocessing ===
  
 
{|
 
{|
  
 
| Paper
 
| Paper
| [[1996Kremer_IMOD]]
+
| [[1982Saxton_Averaging]]
| IMOD
+
| Radial Correlation Function
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1996Chen_Priism/IVE]]
+
| [[1984Saxton_Distortions]]
| Priism/IVE
+
| 3D Reconstruction of distorted crystals
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1996Frank_Spider]]
+
| [[1986Henderson_Processing]]
| Spider
+
| General 2D processing
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2004Sorzano_Xmipp]]
+
| [[2000He_PhaseAlignment]]
| Xmipp
+
| Phase consistency and Alignment
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2005Nickell_TOM]]
+
| [[2006Gil_Unbending]]
| TOM Toolbox
+
| Crystal unbending
 
|-  
 
|-  
  
| Paper
+
|}
| [[2007Messaoudi_TomoJ]]
+
 
| TomoJ
+
=== Classification ===
|-
+
{|
  
 
| Paper
 
| Paper
| [[2008Heymann_BsoftTomo]]
+
| [[1988Frank_Classification]]
| Bsoft
+
| MSA and classification in electron crystallography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2012Zhang IPET FETR]]
+
| [[1996Fernandez_SOM]]
| IPET
+
| Classification based on self organizing maps
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2015Ding_CaltechTomography]]
+
| [[1998Sherman_MSA]]
| Caltech tomography database
+
| Classification based on MSA
 
|-  
 
|-  
  
| Paper
+
|}
| [[2015Noble_AppionProtomo]]
+
=== 3D Reconstruction ===
| Batch fiducial-less tilt-series alignment in Appion using Protomo
+
 
|-
+
{|
  
 
| Paper
 
| Paper
| [[2015vanAarle_Astra]]
+
| [[1985Wang_Solvent]]
| ASTRA Toolbox
+
| Solvent flattening
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2016Liu_FullMechTomo]]
+
| [[1990Henderson_Processing]]
| Fully mechanically controlled automated electron microscopic tomography
+
| General 3D processing
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2017Han_AuTom]]
+
| [[2004Marabini_ART]]
| Software platform for Electron Tomography
+
| Algebraic Reconstruction Technique with blobs for crystals (Xmipp)
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2017Wan_Simulator]]
+
| [[2018Biyani_Badlu]]
| Electron Tomography Simulator
+
| Image processing for badly ordered crystals
 
|-  
 
|-  
  
 
|}
 
|}
  
== 2D Crystals ==
+
=== Books and reviews ===
 
 
=== 2D Preprocessing ===
 
  
 
{|
 
{|
  
 
| Paper
 
| Paper
| [[1982Saxton_Averaging]]
+
| [[1998Walz_Review]]
| Radial Correlation Function
+
| Review of 2D crystallography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1984Saxton_Distortions]]
+
| [[1999Glaeser_Review]]
| 3D Reconstruction of distorted crystals
+
| Review of 2D crystallography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1986Henderson_Processing]]
+
| [[2001Ellis_Review]]
| General 2D processing
+
| Review of 2D crystallography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2000He_PhaseAlignment]]
+
| [[2001Glaeser_Review]]
| Phase consistency and Alignment
+
| Review of 2D crystallography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Gil_Unbending]]
+
| [[2004Henderson_Review]]
| Crystal unbending
+
| Review of electron microscopy
 
|-  
 
|-  
 
|}
 
 
=== Classification ===
 
{|
 
  
 
| Paper
 
| Paper
| [[1988Frank_Classification]]
+
| [[2006Fernandez_Review]]
| MSA and classification in electron crystallography
+
| Review of single particles, electron tomography and crystallography
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1996Fernandez_SOM]]
+
| [[2007Sorzano_Review]]
| Classification based on self organizing maps
+
| Review of the image processing steps
 
|-  
 
|-  
  
| Paper
+
|}
| [[1998Sherman_MSA]]
 
| Classification based on MSA
 
|-
 
  
|}
+
=== Software ===
=== 3D Reconstruction ===
 
  
 
{|
 
{|
  
 
| Paper
 
| Paper
| [[1985Wang_Solvent]]
+
| [[1996Crowther_MRC]]
| Solvent flattening
+
| MRC
 +
|-
 +
 
 +
| Paper
 +
| [[2004Sorzano_Xmipp]]
 +
| Xmipp
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1990Henderson_Processing]]
+
| [[2007Gipson_2dx]]
| General 3D processing
+
| 2dx
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2004Marabini_ART]]
+
| [[2007Heymann_Bsoft]]
| Algebraic Reconstruction Technique with blobs for crystals (Xmipp)
+
| Bsoft
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2018Biyani_Badlu]]
+
| [[2007Philippsen_IPLT]]
| Image processing for badly ordered crystals
+
| IPLT
 
|-  
 
|-  
  
 
|}
 
|}
  
=== Books and reviews ===
+
== 3D Crystals - MicroED ==
  
 +
=== Sample Preparation ===
 +
{|
 +
| Paper
 +
| [[2016Shi_Preparation]]
 +
| Sample Preparation
 +
|}
 +
=== Data Collection ===
 
{|
 
{|
 
 
| Paper
 
| Paper
| [[1998Walz_Review]]
+
| [[2014Nannenga_CR]]  
| Review of 2D crystallography
+
| Continuous rotation
|-
 
  
| Paper
+
|}
| [[1999Glaeser_Review]]
+
=== Data Processing ===
| Review of 2D crystallography
+
{|
|-
 
  
 
| Paper
 
| Paper
| [[2001Ellis_Review]]
+
| [[2011Wisedchaisri_PhaseExtension]]
| Review of 2D crystallography
+
| Fragment-based phase extension
|-  
+
|-
  
 
| Paper
 
| Paper
| [[2001Glaeser_Review]]
+
| [[2015Hattne_Processing]]  
| Review of 2D crystallography
+
| Data Processing
|-  
+
|-
 
+
 
| Paper
 
| Paper
| [[2004Henderson_Review]]
+
| [[2016Hattne_Correction]]
| Review of electron microscopy
+
| Image correction
|-
+
|}
  
| Paper
+
=== Software ===
| [[2006Fernandez_Review]]
+
{|
| Review of single particles, electron tomography and crystallography
 
|-
 
  
 
| Paper
 
| Paper
| [[2007Sorzano_Review]]
+
| [[2014Iadanza_Processing]]
| Review of the image processing steps
+
| Data Processing of still diffraction data
 +
|}
 +
 
 +
=== Books and Reviews ===
 +
{|
 +
|  Paper
 +
| [[2014Nannenga_Review ]]
 +
| Review of MicroED
 +
|-
 +
 
 +
| Paper
 +
| [[2016Liu_Review ]]
 +
| Review of MicroED
 +
|-
 +
 
 +
| Paper
 +
| [[2016Rodriguez_Review ]]
 +
| Review of MicroED
 
|-  
 
|-  
  
 
|}
 
|}
  
=== Software ===
+
== Helical particles ==
 +
 
 +
=== Filament picking ===
  
 
{|
 
{|
  
 
| Paper
 
| Paper
| [[1996Crowther_MRC]]
+
| [[2021Thurber_Automated]]
| MRC
+
| Automated picking of filaments
 
|-  
 
|-  
 +
 +
|}
 +
 +
=== Filament corrections ===
 +
 +
{|
  
 
| Paper
 
| Paper
| [[2004Sorzano_Xmipp]]
+
| [[1986Egelman_Curved]]
| Xmipp
+
| Algorithm for correcting curved filaments
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Gipson_2dx]]
+
| [[1988Bluemke_Pitch]]
| 2dx
+
| Algorithm for correcting filaments with different helical pitches
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Heymann_Bsoft]]
+
| [[2006Wang_Pitch]]
| Bsoft
+
| Algorithm for correcting filaments with different helical pitches
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2007Philippsen_IPLT]]
+
| [[2016Yang_Flexible]]
| IPLT
+
| Algorithm for correcting filaments with flexible subunits
 +
|-
 +
 
 +
| Paper
 +
| [[2019Ohashi_SoftBody]]
 +
| Algorithm for correcting filaments with flexible helices
 
|-  
 
|-  
  
 
|}
 
|}
  
== 3D Crystals - MicroED ==
+
=== Reconstruction ===
  
=== Sample Preparation ===
 
 
{|
 
{|
 +
 
| Paper
 
| Paper
| [[2016Shi_Preparation]]
+
| [[1952Cochran_Fourier]]
| Sample Preparation
+
| Fourier Bessel transform of filamentous structures
|}
+
|-
=== Data Collection ===
+
 
{|
 
 
| Paper
 
| Paper
| [[2014Nannenga_CR]]  
+
| [[1958Klug_Fourier]]
| Continuous rotation
+
| Fourier Bessel decomposition of the projection images
 +
|-
  
|}
+
| Paper
=== Data Processing ===
+
| [[1970DeRosier_Rec]]
{|
+
| Image processing steps towards 3D reconstruction
 +
|-
  
 
| Paper
 
| Paper
| [[2011Wisedchaisri_PhaseExtension]]
+
| [[1988Stewart_Rec]]
| Fragment-based phase extension
+
| Image processing steps towards 3D reconstruction
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2015Hattne_Processing]]  
+
| [[1992Morgan_Rec]]
| Data Processing
+
| Image processing steps towards 3D reconstruction
|-
+
|-  
+
 
 
| Paper
 
| Paper
| [[2016Hattne_Correction]]
+
| [[2005Wang_Iterative]]
| Image correction
+
| Iterative Fourier-Bessel algorithm
|}
+
|-
 
 
=== Software ===
 
{|
 
  
 
| Paper
 
| Paper
| [[2014Iadanza_Processing]]
+
| [[2007Egelman_Iterative]]
| Data Processing of still diffraction data
+
| Iterative real-space algorithm
|}
+
|-  
 
 
=== Books and Reviews ===
 
{|
 
|  Paper
 
| [[2014Nannenga_Review ]]
 
| Review of MicroED
 
|-
 
  
 
| Paper
 
| Paper
| [[2016Liu_Review ]]
+
| [[2010Egelman_Pitfalls]]
| Review of MicroED
+
| Pitfalls in helical reconstruction
|-
+
|-  
  
 
| Paper
 
| Paper
| [[2016Rodriguez_Review ]]
+
| [[2013Desfosses_Spring]]
| Review of MicroED
+
| Helical processing with Spring
 
|-  
 
|-  
 
|}
 
 
== Helical particles ==
 
 
=== Filament corrections ===
 
 
{|
 
  
 
| Paper
 
| Paper
| [[1986Egelman_Curved]]
+
| [[2015Zhang_seam]]
| Algorithm for correcting curved filaments
+
| Workflow for the detection of the lattice seam
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[1988Bluemke_Pitch]]
+
| [[2016Rohou_Frealix]]
| Algorithm for correcting filaments with different helical pitches
+
| Helical processing with Frealix
 
|-  
 
|-  
  
 
| Paper
 
| Paper
| [[2006Wang_Pitch]]
+
| [[2017_He]]
| Algorithm for correcting filaments with different helical pitches
 
|-
 
 
 
| Paper
 
| [[2016Yang_Flexible]]
 
| Algorithm for correcting filaments with flexible subunits
 
|-
 
 
 
| Paper
 
| [[2019Ohashi_SoftBody]]
 
| Algorithm for correcting filaments with flexible helices
 
|-
 
 
 
|}
 
 
 
=== Reconstruction ===
 
 
 
{|
 
 
 
| Paper
 
| [[1952Cochran_Fourier]]
 
| Fourier Bessel transform of filamentous structures
 
|-
 
 
 
| Paper
 
| [[1958Klug_Fourier]]
 
| Fourier Bessel decomposition of the projection images
 
|-
 
 
 
| Paper
 
| [[1970DeRosier_Rec]]
 
| Image processing steps towards 3D reconstruction
 
|-
 
 
 
| Paper
 
| [[1988Stewart_Rec]]
 
| Image processing steps towards 3D reconstruction
 
|-
 
 
 
| Paper
 
| [[1992Morgan_Rec]]
 
| Image processing steps towards 3D reconstruction
 
|-
 
 
 
| Paper
 
| [[2005Wang_Iterative]]
 
| Iterative Fourier-Bessel algorithm
 
|-
 
 
 
| Paper
 
| [[2007Egelman_Iterative]]
 
| Iterative real-space algorithm
 
|-
 
 
 
| Paper
 
| [[2010Egelman_Pitfalls]]
 
| Pitfalls in helical reconstruction
 
|-
 
 
 
| Paper
 
| [[2013Desfosses_Spring]]
 
| Helical processing with Spring
 
|-
 
 
 
| Paper
 
| [[2015Zhang_seam]]
 
| Workflow for the detection of the lattice seam
 
|-
 
 
 
| Paper
 
| [[2016Rohou_Frealix]]
 
| Helical processing with Frealix
 
|-
 
 
 
| Paper
 
| [[2017_He]]
 
 
| Helical processing with Relion
 
| Helical processing with Relion
 
|-  
 
|-  
Line 4,684: Line 6,207:
 
| [[2015Sachse_Review]]
 
| [[2015Sachse_Review]]
 
| Review of the image processing steps in helical particles
 
| Review of the image processing steps in helical particles
 +
|-
 +
 +
| Paper
 +
| [[2021Egelman_Review]]
 +
| Review of reconstruction problems in helical structures
 +
|-
 +
 +
| Paper
 +
| [[2022Wang_Review]]
 +
| Review of reconstruction problems in helical structures
 
|-  
 
|-  
  
Line 4,909: Line 6,442:
 
| [[2018wwwPDB_PDB]]
 
| [[2018wwwPDB_PDB]]
 
| Review of PDB advances
 
| Review of PDB advances
 +
|-
 +
 +
| Paper
 +
| [[2022Wang_EMDB]]
 +
| Validation analysis of EMDB entries
 +
|-
 +
 +
| Paper
 +
| [[2022Westbrook_mmCIF]]
 +
| PDBx/mmCIF ecosystem
 
|-  
 
|-  
  
Line 4,990: Line 6,533:
 
| [[2019Jimenez_SAXS]]
 
| [[2019Jimenez_SAXS]]
 
| Selection of EM initial volumes by SAXS curves
 
| Selection of EM initial volumes by SAXS curves
 +
|-
 +
 +
| Paper
 +
| [[2022Graziadei_CrossLinking]]
 +
| Review on the use of crosslinking mass spectrometry in CryoEM
 +
|-
 +
 +
| Paper
 +
| [[2022Klumpe_FIB]]
 +
| A modular platform for automated cryo-FIB workflows
 
|-  
 
|-  
  

Latest revision as of 07:43, 19 January 2024

Contents

Presentation

This web page is intended to be an extensive repository of three-dimensional electron microscopy (3DEM) methods. The advantages of having such a repository are

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Electron microscopy images

Online courses and Learning material

Caltech (same course in Coursera) (latest version of the course in EM-learning)

MRC

MRC training channel

CNB-CSIC

Workshop on Computational methods for CryoEM

Workshop on Management of large CryoEM facilities

Icknield Course on Model Building and Refinement for High Resolution EM Maps

Tutorial on how to prepare negative staining samples

Tutorial on how to prepare samples

Do's and don'ts on sample preparation

NRAMM Workshop 2017 (course slides)

SBGrid videos about the programs they offer

Madrid course on single particle analysis

CCP-EM Spring symposium 2019

CCP-EM Spring symposium 2020

NCCAT Single Particle short course 2020

Cell atlas book by Grant Jensen and Catherine Oikonomou

Purdue CryoEM Virtual Reality Augmented Training

NCCAT Short course on Tomography

Map with CryoEM Facilities

NCCAT Single Particle Analysis short course

Algorithms for Structural Bioinformatics, AlgoSB2023, Cargese

One world CryoEM technical talks

Image formation

Paper 1971Erickson_CTF CTF model
Paper 1971Glaeser_Damage Radiation damage
Chapter 1971Hanszen_CTF Image formation model
Paper 1971Thon_Model CTF model
Paper 1974Taylor_Diffraction Electron diffraction of crystals
Paper 1975Unwin_Imaging Radiation dose
Paper 1977Wade_Model CTF model
Paper 1978Wade_Model CTF model
Paper 1979Hayward_Radiation Radiation damage
Paper 1984Cohen_Validity Validity of the CTF model at high frequencies
Paper 1988Toyoshima_Model Amplitud constrast
Paper 1992Wade_Model CTF model
Paper 1993Toyoshima_Model Amplitud constrast
Paper 2002DeCarlo_Damage Radiation damage in cryonegative staining
Paper 2004Egerton_Damage Radiation damage
Paper 2004Sorzano_Normalization Background noise is Gaussian
Paper 2008Fanelli_ImageFormation Review on the image formation model from the electron waves and open inverse-problems
Paper 2009Baxter_NoiseCharacterization Characterization of the different noise sources in cryo-EM
Book 2009Rose_Optics Geometrical Charged-Particle Optics
Paper 2010Baker_Damage Radiation damage dependence on resolution
Paper 2010Bammes_Damage Radiation damage dependence on temperature
Paper 2010Gomez_Multislice Simulation of the multi slice model
Paper 2010Zewail_FourDimensional Review on the use of ultrafast EM
Paper 2011Bammes_CCD Performance of CCD cameras
Paper 2011Glaeser_Coma Image formation model including coma
Paper 2011Milazzo_DirectDetectors Evaluation of Direct Detectors
Paper 2011Rullgard_ImageSimulation Accurate simulation of EM images
Paper 2011Zhang LimitingFactors Limiting factor for atomic resolution in EM
Paper 2012Bammes_DirectDetection Performance of Direct detectors
Paper 2012Campbell_MotionCorrection Beam induced motion correction and direct detectors
Paper 2012Shang_HydrationLayer Simulation of PDB volumes explicitly considering the hydration layer
Paper 2013Egerton_RadiationDamage Review of TEM radiation damage and experimental ways of reducing it
Paper 2013Bai_ElectronCounting Electron counting and beam induced motion correction
Paper 2013Li_ElectronCounting Electron counting and beam induced motion correction
Paper 2013Shigematsu H_Noisemodels Noise models and cryo-EM drift correction with a direct-electron camera
Paper 2013Li X K2 noisemodels Influence of electron dose rate on electron counting images recorded with the K2 camera
Paper 2013Vulovic_CTFApproximations When to use the different approximations performed so that a projection with linear CTF is valid
Thesis 2013Vulovic_ImageFormation Ph.D. Thesis on the image formation in cryo-EM
Paper 2014Danev_PhasePlate Volta potential phase plate
Paper 2015Chiu_K2 Characterization of K2
Paper 2015Hawkes_AberrationCorrection Historical account of the development of lens corrections
Paper 2015Koeck_Quadratic Limitations of the linear approximation and use of the quadratic terms
Paper 2015Kuijper_FEI Description of the FEI Falcons
Paper 2015Lobato_MULTEM Simulation of multislice diffraction
Paper 2015McMullan_AmorphousIce Beam induced movement is caused by Brownian motion
Paper 2016Glaeser_Behaviour Behaviour of the specimen under the electron beam
Paper 2016Koeck_ADF Simulations of Annular Dark Field TEM
Paper 2017Fan_VPP 3D Reconstruction with under-focus and over-focus Volta Phase Plate micrographs
Paper 2017Koeck_ApertureDesign Aperture design for singe side band imaging
Paper 2017Mishyna_DNARadiation Review of radiation damage on DNA
Paper 2018Anoshina_Simulation Simulation of 2D and 3D EM images
Paper 2018Downing_DepthOfField Effects of the Depth of Field
Paper 2018DeJonge_SpatialResolution Theory of spatial resolution in liquid water or ice layers
Paper 2018Faruqi_DED Review of Direct Detectors
Paper 2018Hattne_RadiationDamage Analysis of radiation damage in EM
Paper 2018Hettler_Charging Charging of carbon thin films
Paper 2018Koeck_PhaseShift Design of a phase shift device
Paper 2018Noble_ParticleDistribution Particle distribution and ice thickness for Single Particles
Paper 2018Russo_ChargeAccumulation Charge accumulation in electron cryomicroscopy
Paper 2018Russo_SingleBandEM Ewald sphere correcion using single-side band image processing
Paper 2019Peet_EnergyDependence Energy dependence of radiation damage
Paper 2020Bromberg_Aberrations Estimation of strong high-order aberrations
Paper 2020Gruza_Atomic Detailed atomic models considering local charges and directional bonds
Paper 2020Naydenova_Buckling Beam induced movement explained as ice buckling
Paper 2020Zhang_LimitsSimulated Simulation of micrographs and 3D reconstruction for low weight proteins (14kDa)
Paper 2020Tichelaar_Thick Effect of sample thickness on the CTF
Paper 2020Yip_Atomic Atomic resolution by monochromator and a second-generation spherical aberration corrector
Paper 2020Zhang_LimitsSimulated Simulation of micrographs and 3D reconstruction for low weight proteins (14kDa)
Paper 2021Egerton_Inelastic PSF of inelastic scattering
Paper 2021Glaeser_Fading Defocus-dependent Thon-ring fading
Paper 2021Wieferig_Devitrification Devitrification reduces beam-induced movement in cryo-EM
Paper 2022Heymann_PSSNR Progressive Spectral Signal-to-Noise Ratio to assess quality and radiation damage
Paper 2022Dickerson_Inelastic The role of inelastic scattering in thick specimens
Paper 2022Kulik_TAAM Theoretical 3D electron diffraction electrostatic potential maps of proteins
Paper 2022Ravikumar_SideChains Comparison of side-chain dispersion in protein structures determined by cryo-EM and X-ray crystallography
Paper 2023Bromberg_Complex CTF and Ewald sphere correction using complex-valued images
Paper 2023Heymann_Ewald The Ewald sphere/focus gradient does not limit the resolution of cryoEM reconstructions
Paper 2023Schreiber_charge Time dynamics of charge buildup

Collection geometry

Chapter 1980Hoppe_Wedge Missing wedge
Paper 1987Radermacher_RCT Random Conical Tilt and Single axis tilt
Paper 1988Radermacher_RCT Random Conical Tilt and Single axis tilt
Paper 1995Penczek_Dual Dual axis tomography
Paper 1997Mastronarde_Dual Dual axis tomography
Paper 2003Ludtke_FocusPairs Focus pairs for single particles
Paper 2005Lanzavecchia_Conical Conical tomography
Paper 2005Zampighi_Conical Conical tomography
Paper 2006Leschziner_OT Orthogonal Tilt
Paper 2006Messaoudi_Multiple Multiple axis tomography
Paper 2012Kudryashev_FocusPairs Focus pairs tomography
Paper 2014Hovden_TiltFocus Combining tilt series with focus series
Paper 2015Sorzano_RandomConicalTilt General formulation of Random Conical Tilt
Paper 2017Hagen_DoseTomography Dose optimization for subtomogram averaging
Paper 2017Tan_PreferredViews Solving preferred views problems through tilting
Paper 2017Donati_Compressed Compressed sensing for STEM
Paper 2018Oveisi_Stereo Stereo-vision with EM
Paper 2018Cheng_BeamShift Fast image acquisition through beam-shift
Paper 2019Wu_BeamShiftAndTilt Fast image acquisition through beam-shift and beam tilt control
Paper 2023Seifer_RevisedSaxton Revised Saxton geometry for tilt series acquisition

Sample preparation

Paper 1982Dubochet_Sample Vitreous ice
Paper 1986Lepault_Sample Fast freezing
Paper 1995Dubochet_Sample High-pressure freezing
Paper 1995VanMarle_Sample Sample damages in resin
Paper 1998Adrian_Sample Cryo negative staining
Paper 2002DeCarlo_Damage Radiation damage in cryonegative staining
Paper 2002Hsieh_Sample Cryofixation
Paper 2004AlAmoudi_Sample CEMOVIS
Paper 2008Studer_Sample Review on high pressure freezing
Paper 2009Pierson_Sample Review on sample preparation for electron tomography
Paper 2010Zhang_OpNS Optimized negative staining (OpNS) for small protein and lipoprotein imaging
Paper 2012Zhang_Cryo-PS Cryo-positive staining (Cryo-PS)
Paper 2014Russo_GoldGrids Gold grids for single particles
Paper 2015Cabra_Sample Review on sample preparation for single particles with videos
Paper 2015Chari_ProteoPlex Fast evaluation of the structural stability
Paper 2016Passmore_Review Tutorial chapter on sample preparation
Paper 2016Razinkov_Vitrification New vitrification method
Paper 2016Takizawa_Sample Review on sample preparation for EM
Paper 2016Thompson_Sample Review on sample preparation for EM
Paper 2017Arnold_BlottingFree Blotting-free preparation
Paper 2017Earl_review Review of sample preparation
Paper 2017Feng_SprayingPlunging Spraying plunging
Paper 2017He_FIB Cryo FIB lamella for TEM
Paper 2017Peitsch_Sample iMEM: Isolation of Plasma Membrane for Cryoelectron Microscopy
Paper 2017Scapin_Storage Cryo storage of samples
Paper 2017Schaffer_FocusedIonBeam Focused Ion Beam sample preparation for membrane proteins
Paper 2017Scherr_HydrogelNanomembranes Sample preparation for membrane proteins
Paper 2018Anderson_CLEM Correlated light and EM
Paper 2018Arnold_Review Review on sample preparation with special emphasis on microfluidic approaches
Paper 2018Ashtiani_femtolitre Delivery of femtolitre droplets using surface acoustic wave based atomisation for cryo-EM grid preparation
Paper 2018Dandey_Spotiton Spotiton, a device for vitrification
Paper 2018Gewering_Detergents Detergent background in negative stain
Paper 2018Li_CLEM Correlated light and EM
Paper 2018Noble_Reducing Reducing particle adsorption
Paper 2018Palovcak_Graphene Preparation of graphene-oxide cryo-EM grids
Paper 2018Rice_Ice Routine determination of ice thickness
Paper 2018Schmidli_Miniaturized Protein isolation and sample preparation
Paper 2018Wei_Grids "Self-wicking" nanowire grids
Paper 2019DImprima_Denaturation Protein denaturation at the air-water interface and how to prevent it
Paper 2019Rubinstein_ultrasonic Ultrasonic specimen preparation device
Paper 2019Song_FalconIII Comparison of the modes of Falcon III
Paper 2020Cianfrocco_Wrong What could go wrong?
Paper 2020Egelman_Ice Problems with the ice
Paper 2020Fassler_Printing 3D printed cell culture grid holder
Paper 2020Klebl_Deposition Sample deposition onto CryoEM grids: sprays and jets
Paper 2020Maeots_TimeResolved Time resolved CryoEM by microfluidics
Paper 2020Tan_ThroughGrid Through-grid wicking enables high-speed 1 cryoEM specimen preparation
Paper 2020Yoder_TimeResolved Time resolved CryoEM by light estimulation
Paper 2020Zachs_FIB Automation for FIB milling
Paper 2021Bieber_FIBET Sample preparation for correlative FIB milling and CryoET
Paper 2021Budell_TimeResolved Time resolved CryoEM with Spotiton
Paper 2021Casasanta_Microchip Microchip-based structure determination of low-molecular weight proteins using cryo-electron microscopy
Paper 2021Frechard_Preparation Optimization of Sample Preparation
Paper 2021Engstrom_Nitrogen Samples vitrified in boiling nitrogen
Paper 2021Jagota_GoldNanoparticles Gold nanoparticles to assess flexibility
Paper 2021Jiang_MoAu Holey Gold Films on Molybdenum Grids
Paper 2021Jonaid_Liquid Liquid phase EM
Paper 2021Ki_Conformational Conformational Distribution of a Small Protein with Nanoparticle-Aided CryoEM
Paper 2021Li_detergents The effect of detergents on preferential orientations
Paper 2021Voss_Melting Rapid melting and revitrification as an approach to microsecond time-resolved cryoEM
Paper 2021Zhang_Pegylation Improving particle quality in cryo-EM by PEGylation
Paper 2022Chen_Detergents Role of detergents in the air-water interface
Paper 2022Levitz_Chameleon Effects of dispense-to-plunge speed on particle concentration, complex formation, and final resolution
Paper 2022Naydenova_Grid Integrated wafer-scale manufacturing of electron cryomicroscopy specimen supports
Paper 2022Russo_Review Review of sample preparation issues
Paper 2022Scher_FIB Sample preparation for FIB-SEM and Correlative microscopy
Paper 2023Basanta_Graphene Fabrication of Monolayer Graphene-Coated Grids
Paper 2023Han_Sample Challenges in making ideal cryo-EM samples
Paper 2023Liu_AirWater Review on sample preparation techniques to deal with the air-water interface
Paper 2023Neselu_IceThickness Effect of ice thickness on resolution
Paper 2023Torino_TimeResolved Device for the preparation of time-resolved CryoEM experiments
Paper 2023Venien_Membrane Review on the preparation of membrane proteins
Paper 2023Zheng_Ultraflat Uniform thin ice on ultraflat graphene grids

Automated data collection

Paper 1992Dierksen_Automatic Automated data collection
Paper 1992Koster_Automatic Automated data collection
Paper 1996Fung_Automatic Automated data collection for tomography
Paper 2001Zhang_Automatic Automated data collection: AutoEM
Paper 2003Ziese_Automatic Automated autofocusing
Paper 2004Potter_Automatic Automated sample loading
Paper 2004Zheng_Automatic Automated data collection
Paper 2005Lei_Automatic Automated data collection: AutoEM
Paper 2005Suloway_Automatic Automated data collection: Leginon
Paper 2007Yoshioka_RCT Automated Random Conical Tilt
Paper 2011Korinek_TOM2 Automated acquisition with TOM2
Paper 2015Li_UCSFImage Automated acquisition with UCSFImage
Paper 2016Gil_Fuzzy Real time decisions during acquisition with neuro-fuzzy method
Paper 2016Liu_TiltControl Accurate control of the tilt angle for electron tomography
Paper 2016Vargas_FoilHole Determination of image quality at low magnification
Paper 2017Alewijnse_Best Best practices for managing large CryoEM facilities
Paper 2017Biyani_Focus Automatic processing of micrographs
Paper 2018Gomez_Facilities Use of Scipion at facilities
Paper 2018Sorzano_Gain Estimation of the DDD camera gain or residual gain
Paper 2019Chreifi_TiltSeries Rapid tilt-series acquisition for electron cryotomography
Paper 2019Eng_ImageCompression 3D Reconstruction from compressed images
Paper 2019Eisenstein_FISE Improved applicability and robustness of fast cryo-electron tomography data acquisition
Paper 2019Hamaguchi_CryoARM CryoARM data acquisition
Paper 2019Maluenda_Scipion Automated workflow processing for facilities
Paper 2019Schorb_ET Automated acquisition in Electron Tomography
Paper 2019Tegunov_Warp Automatic micrograph processing with Warp
Paper 2019Thompson_Protocol Protocol for EM acquisition
Paper 2020Baxa_Facility Operational workflow in a facility
Paper 2020Guo_EER Electron event representation for acquisition
Paper 2020Li_Workflow Workflow for automatic reconstruction
Paper 2020Sader_Facility Microscope installation and operation in a facility
Paper 2020Schenk_CryoFlare CryoFlare, automatic data acquisition
Paper 2020Stabrin_Transphire TranSPHIRE: Automated and feedback-optimized on-the-fly processing for cryo-EM
Paper 2020Yokoyama_Good Deep learning for determining good regions in a grid
Paper 2020Weis_Acquisition Suggestions for high-quality and high-throughput acquisition
Paper 2021Feathers_Superresolution Effects of superresolution and magnification on final resolution
Paper 2021Bouvette_Bisect Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography
Paper 2021Chreifi_FISE Rapid tilt-series method for cryo-electron tomography: Characterizing stage behavior during FISE acquisition
Paper 2021Efremov_ComaCorrected Coma-corrected rapid single-particle cryo-EM data collection on the CRYO ARM 300
Paper 2021Herzik_Setup Setup for parallel illumination
Paper 2021Kayama_Multipurpose Below 3 Å structure of apoferritin using a multipurpose TEM with a side entry cryoholder
Paper 2021Lane_NegativeBias Negative potential bias for faster imaging
Paper 2021Rheinberger_IceThickness Scripts to measure ice thickness
Paper 2021Yang_CRIM Computer readable image markers (CRIM) for correlative microscopy
Paper 2021Weis_Strategies Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
Paper 2021Wypych_gP2S LIMS of microscope sessions
Paper 2021Yang_CLEM Automated correlative microscopy
Paper 2021Yonekura_Hole Automated hole detection using YOLO
Paper 2022Bepler_Smart Smart data collection
Paper 2022Bouvette_SmartScope SmartScope
Paper 2022Flutty_bits Bit-precision for SPA and ET
Paper 2022Hagen_Screening Screening of ice thickness using energy filter-based plasmon imaging
Paper 2022Hohle_Ice Screening of ice thickness using interferometry
Paper 2022Peck_200 High-speed high-resolution data collection on a 200 keV cryo-TEM
Paper 2022Peck_Montage Montage electron tomography
Paper 2022Zhu_ElectronCounting New algorithm for electron counting at the microscope
Paper 2023Cheng_Leginon Smart data collection with Leginon
Paper 2023Kim_Ptolemy Smart data collection with Ptolemy
Paper 2023Last_Ice Measuring the ice thickness with an optical device and a neural network

Single particles

Automatic particle picking

Paper 1982VanHeel_Detection Detection of particles in micrographs
Paper 2001Nicholson_Review Review on automatic particle picking
Paper 2001Zhu_Filaments Automatic identification of filaments in micrographs
Paper 2004Sigworth_Detection Classical detection theory and the cryo-EM particle selection problem
Paper 2004Volkmann_ParticlePicking An approach to automated particle picking from electron micrographs based on reduced representation templates
Paper 2004Wong_ParticlePicking Model-based particle picking for cryo-electron microscopy
Paper 2004Zhu_Review Review on automatic particle picking
Paper 2007Chen_Signature Automatic particle picking program: Signature
Paper 2007Woolford_SwarmPS Automatic particle picking with several criteria, implemented in EMAN Boxer
Paper 2009Sorzano_MachineLearning Automatic particle picking based on machine learning of rotational invariants
Paper 2011Arbelaez_Comparison Evaluation of the performance of software for automated particle-boxing
Paper 2013Abrishami_MachineLearning A pattern matching approach to the automatic selection of particles from low-contrast electron micrographs
Paper 2013Hauer_2013 Automatic tilt pair detection in Random Conical Tilt
Paper 2013Hoang_ParallelGPUPicking Parallel GPU-accelerated particle picking
Paper 2013Shatsky_ParticlePicking Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs
Paper 2013Vargas_ParticleQuality Automatic determination of particle quality
Paper 2014Langlois_ParticlePicking Automatic particle picking
Paper 2015Scheres_SemiAutoPicking Semi-automated selection of cryo-EM particles
Paper 2016Vilas_AutomaticTilt Automatic identification of image pairs in untilted-tilted micrograph pairs
Paper 2016Wang_DeepPicker A deep learning approach for fully automated particle picking
Paper 2017Rickgauer_Detection Picking by correlation
Paper 2017Zhu_DeepEM Deep learning approach to picking
Paper 2018Huber_Helices Automated tracing of helices
Paper 2018Heimowitz_ApplePicker Automated particle picking
Paper 2018Sanchez_DeepConsensus Deep learning consensus of multiple automatic pickers
Paper 2019Alazzawi_Clustering Use of clustering algorithms to find particles in micrographs
Paper 2019Bepler_Topaz Deep learning for particle picking
Paper 2019Carrasco_IP Use of standard image processing for particle picking
Conference 2019Li_Deep Deep learning for particle picking without box size
Paper 2019Wagner_Cryolo Deep learning for particle picking
Paper 2019Wang_Biobjective Biobjective function for robust signal detection
Paper 2019Zhang_Pixer Deep learning for particle picking
Paper 2020Sanchez_Cleaner Deep learning for removing particles from the carbon edges, aggregations, contaminations, ...
Conference 2021Li_PickerOptimizers Removal of badly picked particles with Deep Learning
Paper 2021Ohashi_GRIPS Two-pass picking with GRIPS
Paper 2022Eldar_ASOCEM Automatic segmentation of contaminations
Conference 2022Huang_DenoisingAndPicking Simultaneous denoising and picking with deep learning
Paper 2022Olek_Icebreaker Ice thickness detection and its use for particle picking
Paper 2022Zhang_EPicker Particle picking based on continual learning
Paper 2023Dhakal_CryoPPP A public database for particle picking

2D Preprocessing

Paper 1978Carrascosa_matching Gray values matching by linear transformations
Paper 2003Rosenthal_DPR Contrast enhancement through DPR
Paper 2004Sorzano_Normalization Normalization procedures and their statistical properties.
Paper 2006Sorzano_Denoising Strong denoising in wavelet space
Conference 2009Sorzano_Downsampling Differences between the different downsampling schemes
Paper 2012Brilot_Movies Alignment of beam induced motion in direct detectors
Paper 2012Campbell_Movies Alignment of beam induced motion in direct detectors
Paper 2012Zhao_Denoising Denoising using an invariant Fourier-Bessel eigenspace
Paper 2013Norousi_Screening Screening particles to identify outliers
Paper 2013Bai_ElectronCounting Electron counting and beam induced motion correction
Paper 2013Li_ElectronCounting Electron counting and beam induced motion correction
Paper 2013Shigematsu_Movies Drift correction for movies considering dark field
Paper 2013Vargas_ParticleQuality Automatic determination of particle quality
Paper 2014Scheres_Movies Beam induced motion correction
Paper 2015Abrishami_Movies Alignment of direct detection device micrographs
Paper 2015Grant_Anisotropic Automatic estimation and correction of anisotropic magnification
Paper 2015Grant_OptimalExposure Filter movies according to the radiation damage
Paper 2015Rubinstein_Alignment Frame alignment at the level of particle
Paper 2015Spear_DoseCompensation Effect of dose compensation on resolution
Paper 2015Zhao_AnisotropicMagnification Correction of anisotropic magnification
Conference 2016Bajic_Denoising Denoising and deconvolution of micrographs
Paper 2016Jensen_RemovalVesicles Removal of vesicles in membrane proteins
Paper 2016Bhamre_Denoising Denoising by 2D covariance estimation
Paper 2017Berndsen_EMPH Automated hole masking algorithm
Paper 2017McLeod_Zorro Movie alignment by Zorro
Paper 2017Zheng_MotionCorr2 Movie alignment by MotionCorr2
Paper 2018Ouyang_Denoising Denoising based on geodesic distance
Paper 2018Wu_ContrastEnhancement Contrast enhancement
Paper 2019Zivanov_BayesianBIM Bayesian correction of beam induced movement
Paper 2020Bepler_TopazDenoise Preprocessing of micrographs for better picking
Paper 2020Chung_2SDR PCA to denoise particles
Paper 2020Chung_Prepro Preprocessing of particles for better alignment
Conference 2020Huang_SuperResolution Deep learning superresolution combination of frames
Paper 2020Palovcak_noise2noise Noise2noise denoising of micrographs
Paper 2020Strelak_FlexAlign Continuous deformation model for aligning movie frames
Conference 2021Fan_Denoising Particle denoising using vector diffusion maps
Paper 2022Heymann_ProgressiveSSNR Progressive SSNR to assess quality and radiation damage
Paper 2022Shi_Denoising Contrast estimation and denoising in SPA
Paper 2023Huang_ZSSR Multiple image super-resolution, upsampling with deep learning
Paper 2023Marshall_PCA Fast PCA on single particle images
Paper 2023Sharon_Enhancement Signal enhancement of SPA particles
Paper 2023Strelak_MovieAlignment Comparison of movie alignment programs

2D Alignment

Paper 1981Frank_Averaging 2D averaging and phase residual
Paper 1982Saxton_Averaging 2D averaging using correlation
Paper 1998Sigworth_ML2D Maximum likelihood alignment in 2D
Paper 2003Cong_FRM2D Fast Rotational Matching in 2D
Paper 2005Cong_FRM2D Fast Rotational Matching in 2D introduced in a 3D Alignment algorithm
Paper 2005Scheres_ML2D Multireference alignment and classification in 2D
Paper 2016Aguerrebere_Limits Fundamental limits of 2D translational alignment
Paper 2010Sorzano_CL2D Multireference alignment and classification in 2D
Conference 2017Anoshina_Correlation New correlation measure for aligning images
Paper 2019Radermacher_Correlation On the properties of cross correlation for the alignment of images
Paper 2020Lederman_representation A representation theory perspective of alignment and classification
Paper 2020Marshall_Invariants Recovery of an image from its invariants
Paper 2021Chen_Fast Fast alignment through Power Spectrum
Conference 2021Chung_CryoRALIB Image alignment acceleration
Paper 2021Heimowitz_Centering Centering noisy images

2D Classification and clustering

Paper 1981VanHeel_MSA Multivariate Statistical Analysis
Paper 1984VanHeel_MSA Multivariate Statistical Analysis
Paper 2005Scheres_ML2D Multireference alignment and classification in 2D
Paper 2010Sorzano_CL2D Multireference alignment and classification in 2D
Paper 2011Singer_DiffusionMaps Classification in 2D based on graph analysis of the projections
Paper 2012Yang_ISAC Iterative Stable Alignment and clustering
Paper 2014Sorzano_Outlier Outlier detection in 2D classifications.
Paper 2014Zhao_Aspire Fast classification based on rotational invariants and vector diffusion maps
Paper 2015Huang_Robust Robust w-estimators of 2D classes
Paper 2016Kimanius_Accelerated GPU Accelerated image classification and high-resolution refinement
Paper 2016Reboul_Stochastic Stochastic Hill Climbing for calculating 2D classes
Conference 2017Bhamre_Mahalanobis 2D classification using Mahalanobis distance
Paper 2017Wu_GTM 2D classification using Generative Topographic Mapping
Conference 2018Boumal_SinglePass Single pass classification
Conference 2018Shuo_Network 2D Clustering by network metrics
Conference 2020Miolane_VAEGAN 2D Analysis by deep learning
Conference 2021Rao_Wasserstein Wasserstein K-Means for Clustering Tomographic Projections
Paper 2022Wang_Spectral 2D classification with spectral clustering
Paper 2022Zhang_DRVAE 2D classification with deep learning and K-means++
Paper 2023Chen_Joint 2D classification with deep learning and joint unsupervised difference learning

3D Alignment

Paper 1980Kam_AutoCorrelation Reconstruction without angular assignment from autocorrelation function (reference free)
Paper 1986Goncharov_CommonLines Angular assignment using common lines (reference free)
Paper 1987VanHeel_CommonLines Angular assignment using common lines (reference free)
Paper 1988Provencher_Simultaneous Simultaneaous alignment and reconstruction
Paper 1988Radermacher_RCT Random Conical Tilt and Single axis tilt
Paper 1988Vogel_Simultaneous Simultaneaous alignment and reconstruction
Paper 1990Gelfand_Moments Angular assignment using moments (reference free)
Paper 1990Goncharov_Moments Angular assignment using moments (reference free)
Paper 1990Harauz_Quaternions Use of quaternions to represent rotations
Paper 1994Penczek_Real Angular assignment using projection matching in real space
Paper 1994Radermacher_Radon Angular assignment in Radon space
Paper 1996Penczek_CommonLines Angular assignment using common lines (reference free)
Paper 2003Rosenthal_DPR Angular assignment using DPR
Paper 2004Sorzano_Wavelet Angular assignment in the wavelet space.
Paper 2005Jonic_Splines Angular assignment in Fourier space using spline interpolation.
Paper 2005Yang_Simultaneous Simultaneaous alignment and reconstruction
Paper 2006Ogura_SimulatedAnnealing Angular asignment by simulated annealing
Paper 2007Grigorieff_Continuous Continuous angular assignment in Fourier space
Paper 2010Jaitly_Bayesian Angular assignment by a Bayesian method and annealing
Paper 2010Sanz_Random Random model method
Paper 2010Singer_Voting Detecting consistent common lines by voting (reference free)
Paper 2011Singer_SDP Angular assignment by semidefinite programming and eigenvectors (reference free)
Paper 2012Giannakis_Scattering Construction of an initial volume, reference free, by graph analysis of the projections
Paper 2012Shkolnisky_Sync Angular assignment by synchronization of rotations (reference free)
Paper 2013Elmlund H_PRIME PRIME: Probabilistic Initial 3D Model Generation for Single-Particle Cryo-Electron Microscopy
Paper 2013Wang_LUD Angular assignment by least unsquared deviations (reference free)
Paper 2014Vargas_RANSAC Initial model using RANSAC (reference free)
Paper 2015Joubert_Pseudoatoms Initial model based on pseudo-atoms
Paper 2015Singer_Kam Reconstruction without angular assignment from autocorrelation function (reference free)
Paper 2015Sorzano_Significant Statistical approach to the initial volume estimation (reconstruct significant)
Paper 2016Cossio_BayesianGPU GPU implementation of the Bayesian 3D reconstruction approach
Conference 2016Michels_Heterogeneous Initial volume in the presence of heterogeneity
Paper 2016Pragier_Graph Graph partitioning approach to angular reconstitution
Paper 2017Greenberg_CommonLines Common lines for reference free ab-initio reconstruction
Paper 2018Sorzano_Highres New algorithm for 3D Reconstruction and alignment with emphasis on significance
Paper 2018Sorzano_Swarm Consensus of several initial volumes by swarm optimization
Paper 2019Zehni_Joint Continuous angular refinement and reconstruction
Paper 2019Zehni_Joint Continuous angular refinement and reconstruction
Paper 2020Sharon_NonUniformKam Reconstruction and angular distribution estimation without angular assignment (reference free)
Paper 2020Xie_Network Angular assignment considering a network of assignments
Paper 2021Jimenez_DeepAlign Angular alignment using deep learning
Paper 2021Kojima_Preferred Identification of preferred orientations
Conference 2021Nashed_CryoPoseNet CryoPoseNet: Angular alignment with deep learning
Conference 2021Zhong_CryoDRGN2 CryoDRGN2: Angular alignment with deep learning
Paper 2022Lu_SphericalEmbeddings Angular assignment through common lines and spherical embeddings
Paper 2022Wang_Thunder Angular assignment implementation in GPU

3D Reconstruction

Paper 1972Gilbert_SIRT Simultaneous Iterative Reconstruction Technique (SIRT)
Paper 1973Herman_ART Algebraic Reconstruction Technique (ART)
Paper 1980Kam_SphericalHarmonics 3D Reconstruction using spherical harmonics
Paper 1984Andersen_SART Simultaneous Algebraic Reconstruction Technique (SART)
Paper 1986Harauz_FBP Exact filters for Filtered Back Projection
Chapter 1992Radermacher_WBP Exact filters for Weighted Back Projection
Paper 1997Zhu_RecCTF 3D Reconstruction (SIRT like) and simultaneous CTF correction
Paper 1998Boisset_Uneven Artifacts in SIRT and WBP under uneven angular distributions
Paper 1998Marabini_ART Algebraic Reconstruction Technique with blobs (Xmipp)
Paper 2001Sorzano_Uneven Free parameter selection under uneven angular distributions
Paper 2005Sorzano_Parameters Free parameter selection for optimizing multiple tasks
Paper 2008Sorzano_Constraints Mass, surface, positivity and symmetry constraints for real-space algorithms
Paper 2009Bilbao_ParallelART Efficient parallelization of ART
Paper 2011Li_GradientFlow Regularized 3D Reconstruction by Gradient Flow
Paper 2011Vonesch_Wavelets Fast wavelet-based 3D reconstruction
Paper 2012Gopinath_ShapeRegularization Regularized 3D Reconstruction by Shape information
Paper 2012Kucukelbir_adaptiveBasis 3D reconstruction in an adaptive basis promoting sparsity
Paper 2012Sindelar_NoiseReduction Optimal noise reduction in 3D reconstructions
Paper 2013Elmlund H_PRIME PRIME: Probabilistic Initial 3D Model Generation for Single-Particle Cryo-Electron Microscopy
Paper 2013Lyumkis_Optimod Construction of initial volumes with Optimod
Paper 2013Wang FIRM Fast 3D reconstruction in Fourier domain
Paper 2014Kunz_SART_OS Simultaneous ART with OS
Paper 2015Abrishami_Fourier 3D Reconstruction in Fourier space
Paper 2015Dvornek_SubspaceEM Fast Maximum a posteriori
Paper 2015Moriya_Bayesian Bayesian approach to suppress limited angular artifacts
Paper 2015Xu_GeometricFlow Multi-scale geometric flow
Arxiv 2016Ye_Cohomology Cohomology properties of 3D reconstruction
Paper 2017Barnett_Marching Initial volume through frequency marching
Paper 2017Punjani_CryoSPARC CryoSPARC
Paper 2017Punjani_CryoSPARCTheory Theory related to CryoSPARC
Paper 2017Sorzano_SurveyIterative Survey of iterative reconstruction methods for EM
Paper 2018Bartesaghi_Refinement Refinement of CTF, frame weight and alignment for high resolution reconstruction
Paper 2018Hu_ParticleFilter A particle filter framework for 3D reconstruction
Conference 2018Levin_Kam Ab initio reconstruction by autocorrelation analysis
Conference 2018Michels_RBF Ab-initio reconstruction with radial basis functions
Paper 2018Reboul_Simple Ab initio reconstruction with Simple
Paper 2018Sorzano_Highres New algorithm for 3D Reconstruction and alignment with emphasis on significance
Paper 2018Sorzano_Swarm Consensus of several initial volumes by swarm optimization
Paper 2018Zhu_Ewald 3D Reconstruction with Ewald sphere correction
Paper 2019Gomez_Initial Construction of initial models
Master 2019Havelkova_Regularization Regularization methods in 3D reconstruction
Paper 2019Wilkinson_Scales Combining data acquired at different scales
Paper 2020Alazzawi_Auto Automatic full processing of micrographs to yield a 3D reconstruction
Paper 2020Pan_TV 3D Reconstruction with total variation regularization
Paper 2020Punjani_NonUniform Non-uniform refinement
Paper 2020Ramlaul_Sidesplitter Local filtering along the reconstruction iterations
Paper 2020Xie_Automatic Automatic 3D reconstruction from projections
Conference 2020Venkatakrishnan_MBIR Model based image reconstruction
Paper 2020Zhou_AutomaticSelection Automatic selection of particles for 3D reconstruction
Paper 2021Abrishami_Localized Localized reconstruction in scipion expedites the analysis of symmetry mismatches in Cryo-EM data
Paper 2021Gupta_CryoGAN 3D Reconstruction via Generative Adversarial Learning
Paper 2021Luo_Opus 3D Reconstruction with a sparse and smoothness constraint
Paper 2021Kimanius_PriorKnowledge Incorporation of prior knowledge during 3D reconstruction
Paper 2021Sorzano_Uneven Algorithmic robustness to uneven angular distributions
Paper 2022Havelkova_regularization Regularization of iterative reconstruction algorithms
Paper 2023Bendory_Autocorrelation Initial volume through autocorrelation analysis with sparsity constraints
Paper 2023Herreros_ZART Correction of continuous heterogeneity during the 3D reconstruction
Paper 2023Rangan_AbInitio Robust ab initio reconstruction

3D Heterogeneity

Paper 2004White_Size Heterogeneity classification of differently sized images
Paper 2006Penczek_Bootstrap 3D heterogeneity through bootstrap
Paper 2007Leschziner_Review Review of 3D heterogeneity handling algorithms
Paper 2007Scheres_ML3D Maximum Likelihood alignment and classification in 3D
Paper 2008Herman_Graph Classification by graph partitioning
Paper 2009Spahn_Bootstrap 3D heterogeneity through bootstrap
Paper 2010Elmlund_AbInitio Solving the initial volume problem with multiple conformations
Paper 2010Shatsky_MultiVariate Multivariate Statistical Analysis
Paper 2012Scheres_Bayesian A Bayesian view on cryo-EM structure determination
Paper 2012Zheng_Covariance Estimation of the volume covariance
Paper 2013Wang_MLVariance Maximum Likelihood estimate of the map variance
Paper 2013Lyumkis D_FREALIGN Likelihood-based classification of cryo-EM images using FREALIGN.
Paper 2014Chen_Migration Particle migration analysis in 3D classification
Paper 2014Dashti_Brownian Continuous heterogeneity through Brownian trajectories
Paper 2014Schwander_manifold Continuous heterogeneity through Manifold Analysis
Paper 2014Jin_NMA HEMNMA: Continuous heterogeneity through Normal Mode Analysis
Paper 2015Anden_Covariance 3D Covariance matrix estimation for heterogeneity
Paper 2015Bai_Focused Focused classification
Paper 2015Katsevich_Covariance 3D Covariance matrix estimation for heterogeneity
Paper 2015Klaholz_MRA Multivariate Statistical Analysis of Jackknife and Bootstrapping on random subsets
Paper 2015Liao_Covariance Estimation of the 3D covariance from 2D projections
Paper 2015Tagare_Direct Direct reconstruction of PCA components
Paper 2016Gong_Mechanical Mechanical model for macromolecules
Paper 2016Rawson_Movement Movement and flexibility
Paper 2016Shan_Multibody Multibody refinement
Paper 2016Sorzano_StructMap Sorting a discrete set of conformational states
Paper 2016Sorzano_Strain Calculate local stretches, strains and rotations from two conformational states
Paper 2017Punjani_CryoSPARC CryoSPARC
Paper 2017Schillbach_Warpcraft Warpcraft: 3D Reconstruction in the presence of continuous heterogeneity
Paper 2018Anden_Covariance Structural Variability from Noisy Tomographic Projections
Paper 2018Haselbach_FreeEnergy Analysis of the free energy landscape through PCA
Paper 2018Nakane_MultiBody Structural Variability through multi-body refinement
Paper 2019Serna_Review Review of classification tools
Paper 2018Solernou_FFEA Fluctuating Finite Element Analysis, continuum approach to Molecular Dynamics
Paper 2019Sorzano_Review Review of continuous heterogeneity biophysics
Paper 2019Zhang_Local Local variability and covariance
Paper 2020Dashti_Landscape Retrieving functional pathways from single particle snapshots
Conference 2020Gupta_MultiCryoGAN Reconstruction of continuously heterogeneous structures with adversarial networks
Paper 2020Harastani_NMA HEMNMA in Scipion : Using HEMNMA for analyzing continuous heterogeneity with normal modes
Paper 2020Maji_Propagation Propagation of conformational coordinates across angular space
Paper 2020Moscovich_DiffusionMaps Heterogeneity analysis by diffusion maps and spectral volumes
Paper 2020Seitz_Polaris Analysis of energy landscapes to find minimal action paths
Conference 2020Zhong_CryoDRGN CryoDRGN to analyze the continuous heterogeneity by CryoEM
Paper 2020Verbeke_Separation Heterogeneity analysis by comparing common lines
Paper 2021Chen_GM Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability
Paper 2021Giraldo_cryoBIFE A Bayesian approach to extracting free‑energy profiles
Conference 2021Hamitouche_NMADL Continuous heterogeneity analysis through normal modes and deep learning
Paper 2021Herreros_Zernikes3D Continuous heterogeneity analysis through Zernikes 3D
Paper 2021Kazemi_Enrich ENRICH: A fast method to improve the quality of flexible macromolecular reconstructions
Paper 2021Matsumoto_DEFmap Prediction of RMSF of Molecular Dynamics from a CryoEM map using deep learning
Chapter 2021Nakasako_Landscape Estimation of free-energy landscape from images
Paper 2021Punjani_3DVA 3D Variability analysis from images
Paper 2021Sorzano_PCA PCA is limited to low-resolution
Paper 2021Zhong_CryoDRGN CryoDRGN to analyze the continuous heterogeneity by CryoEM
Paper 2022Ecoffet_MorphOT More physically plausible morphing between two states
Paper 2022Gomez_Hierarchical Hierarchical classification of particles
Paper 2022Hamitouche_DeepHEMNMA DeepHEMNMA: Continuous heterogeneity analysis through normal modes and deep learning
Conference 2022Levy_CryoFire CryoFire: heterogeneity and alignment through amortized inference
Paper 2022Rabuck_Quant Workflow for discrete heterogeneity analysis
Paper 2022Skalidis_Endogenous AI tools to recognize proteins in cellular fractions
Paper 2022Wu_Manifold Continuous heterogeneity through manifold learning
Paper 2022Zhou_Data Determination of the number of discrete 3D classes
Paper 2023Barchet_Focused Applications and strategies in focused classification and refinement
Paper 2023Chen_GMM Continuous heterogeneity analysis with GMMs and neural networks
Paper 2023Dsouza_benchmark Benchmark analysis of various continuous heterogeneity algorithms
Paper 2023Esteve_Spectral Continuous heterogeneity analysis through the spectral decomposition of the atomic structure
Paper 2023Fernandez_Subtraction Subtraction of unwanted signals to improve classification and alignment
Paper 2023Herreros_Hub Flexibility hub: an integrative platform for continuous heterogeneity
Paper 2023Luo_OpusDSD OPUS DSD: a neural network approach to continuous heterogeneity
Paper 2023Kinman_Analysis Analysis of the continuous heterogeneity results of CryoDrgn
Paper 2023Matsumoto_DEFmap Quantitative analysis of the prediction of RMSF from a map using DefMap
Paper 2023Punjani_3DFlex Continuous heterogeneity through 3DFlex
Paper 2023Seitz_Geometric Geometric relationships between manifold embeddings of a continuum of 3D molecular structures and their 2D projections
Paper 2023Seitz_ESPER Continuous heterogeneity through Embedded subspace partitioning and eigenfunction realignment
Paper 2023Tang_Reweighting Ensemble reweighting using Cryo-EM particles
Paper 2023Vuillemot_MDSPACE MDSPACE: Continuous heterogeneity analysis through normal modes and MD simulation
Paper 2023Wang_Autoencoder Discrete heterogeneity based on autoencoders
Paper 2024Chen_Focused Focused reconstruction of heterogeneous macromolecules

Validation

Paper 2008Stagg_TestBed Effect of voltage, dosis, number of particles and Euler jumps on resolution
Paper 2011Henderson Tilt Validation
Paper 2011Read Validation of PDBs
Paper 2012Henderson EM Map Validation
Paper 2013Cossio_Bayesian EM Map Validation in a probabilistic setting
Paper 2013Chen_NoiseSubstitution Noise substitution at high resolution for measuring overfitting
Paper 2013Ludtke_Validation Structural validation, example of the Calcium release channel
Paper 2013Murray_Validation Validation of a 3DEM structure through a particular example
Paper 2014Russo_StatisticalSignificance EM Map Validation through the statistical significance of the tilt-pair angular assignment
Paper 2014Stagg_Reslog EM Map Validation through the resolution evolution with the number of particles
Paper 2014Wasilewski_Tilt Web implementation of the tilt pair validation
Paper 2015Heymann_Alignability EM Map Validation through the resolution of reconstructions from particles and noise
Paper 2015Oliveira_FreqLimited Comparison of gold standard and frequency limited optimization
Paper 2015Rosenthal_Review Review of validation methods
Paper 2015Wriggers_Secondary Validation by secondary structure
Paper 2016Degiacomi_IM Comparison of Ion Mobility data and EM volumes
Paper 2016Kim_SAXS Comparison of SAXS data and EM projections
Paper 2016Rosenthal_Review Review of validation methods
Paper 2016Vargas_Alignability Validation by studying the tendency of an angular assignment to cluster in the projection space
Paper 2017Monroe_PDBRefinement Validation by comparison to a refined PDB
Paper 2018Afonine_Phenix Tools in Phenix for the validation of EM maps
Paper 2018Heymann_Bsoft Map validation using Bsoft
Paper 2018Heymann_Challenge A summary of the assessments of the 3D Map Challenge
Paper 2018Jonic_Gaussian Assessment of sets of volumes by pseudoatomic structures
Paper 2018Naydenova_AngularDistribution Evaluating the angular distribution of a 3D reconstruction
Paper 2018Pages_Symmetry Looking for a symmetry axis in a PDB
Paper 2018Pintilie_SSE Evaluating the quality of SSE and side chains
Paper 2019Herzik_Multimodel Local and global quality by multi-model fitting
Paper 2020Chen_Atomic Validation of the atomic models derived from CryoEM
Paper 2020Cossio_CrossValidation Need for cross validation
Paper 2020Ortiz_CrossValidation Cross validation for SPA
Paper 2020Sazzed_helices Validation of helix quality
Paper 2020Stojkovic_PTM Validation of post-translational modifications
Paper 2020Tiwari_PixelSize Fine determination of the pixel size
Paper 2021Mendez_Graph Identification of incorrectly oriented particles
Paper 2021Pintilie_Validation Review of map validation approaches
Paper 2021Olek_FDR Cryo-EM Map–Based Model Validation Using the False Discovery Rate Approach
Paper 2022Garcia_DeepHand Checking the correct handedness with a neural network
Paper 2022Sorzano_Bias Bias, variance, gold-standard and overfitting in SPA
Paper 2022Sorzano_Validation Validation scheme and server for SPA
Paper 2022Terashi_DAQ Validation of models fitted into CryoEM maps
Paper 2022Waarshamanage_EMDA Validation of models fitted into CryoEM maps
Paper 2024Verbeke_SelfFSC Self FSC: FSC with a single map

Resolution

Paper 1986Harauz_FBP Fourier Shell Correlation
Paper 1987Unser_SSNR 2D Spectral Signal to Noise Ratio
Paper 2002Penczek_SSNR 3D Spectral Signal to Noise Ratio for Fourier based algorithms
Paper 2003Rosenthal_DPR Review of the FSC and establishment of a new threshold
Paper 2005Unser_SSNR 3D Spectral Signal to Noise Ratio for any kind of algorithms
Paper 2005VanHeel_FSC Establishment of a new threshold for FSC
Paper 2007Sousa_AbInitio Resolution measurement on neighbour Fourier voxels
Paper 2014Kucukelbir_Local Quantifying the local resolution of cryo-EM density maps
Paper 2016Pintilie_Probabilistic Probabilistic models and resolution
Paper 2017Sorzano_FourierProperties Statistical properties of resolution measures defined in Fourier space
Conference 2018Avramov_DeepLearning Deep learning classification of volumes into low, medium and high resolution
Paper 2018Carugo_BFactors How large can B-factors be in protein crystals
Conference 2018Kim_FourierError Comparison between a gold standard and a reconstruction
Paper 2018Rupp_Problems Problems of resolution as a proxy number for map quality
Paper 2018Vilas_MonoRes Local resolution by monogenic signals
Paper 2018Yang_Multiscale Resolution from a multiscale spectral analysis
Paper 2019Avramov_DeepLearning Deep learning classification of volumes into low, medium and high resolution
Paper 2019Heymann_Statistics SNR, FSC, and related statistics
Paper 2019Ramirez_DeepRes Resolution determination by deep learning
Paper 2020Baldwin_Lyumkis_SCF Resolution attenuation through non-uniform Fourier sampling
Paper 2020Beckers_Permutation Permutation tests for the FSC
Paper 2020Penczek_mFSC Modified FSC to avoid mask induced artifacts
Paper 2020Vilas_MonoDir Local and directional resolution
Paper 2023Dai_CryoRes Local resolution through deep learning
Paper 2023Vilas_FSO Fourier Shell Occupancy to measure anisotropy

Sharpening of high resolution information

Paper 2003Rosenthal_DPR Contrast restoration and map sharpening
Paper 2008Fernandez_Bfactor Bfactor determination and restoration
Paper 2013Fiddy_SaxtonAlgorithm Phase retrieval or extension
Paper 2014Kishchenko_SphericalDeconvolution Spherical deconvolution
Paper 2015Spiegel_VISDEM Visualization improvement by the use of pseudoatomic profiles
Paper 2016Jonic_Pseudoatoms Approximation with pseudoatoms
Paper 2016Jonic_Denoising Denoising and high-frequency boosting by pseudoatom approximation
Paper 2017Jakobi_LocScale Sharpening based on an atomic model
Paper 2019Ramlaul_Filtering Local agreement filtering (denoising)
Conference 2020Mullick_SuperResolution Superresolution from a map
Paper 2020Ramirez_LocalDeblur Local deblur (local Wiener filter)
Paper 2020Terwilliger_density Density modification of CryoEM maps
Paper 2020Vilas_Bfactor Global B-factor correction does not represent macromolecules
Paper 2021Beckers_Interpretation Improvements from the raw reconstruction to a structure to model
Paper 2021Kaur_LocSpiral LocSpiral, LocBsharpen, LocBfactor
Paper 2021Fernandez_Adjustment Map adjustment for subtraction, consensus and sharpening
Paper 2021Sanchez_DeepEMhancer Deep learning algorithm for volume restoration
Paper 2022Gilles_Wilson A molecular prior distribution for Bayesian inference based on Wilson statistics
Paper 2022Vargas_tubular Map enhancement by multiscale tubular filter
Paper 2023He_EMReady Map enhancement with local and non-local deep learning (EMReady)
Paper 2023Maddhuri_EMGan Map enhancement with GANs (EMGan)

CTF estimation and restoration

Paper 1982Schiske_Correction CTF correction for tilted objects
Paper 1988Toyoshima_Model CTF estimation
Paper 1995Frank_Wiener CTF correction using Wiener filter
Paper 1996Skoglund_MaxEnt CTF correction with Maximum Entropy
Paper 1996Zhou_Model CTF model and user interface for manual fitting
Paper 1997Fernandez_AR PSD estimation using periodogram averaging and AR models
Paper 1997Penczek_Wiener CTF correction using Wiener filter
Paper 1997Stark_Deconvolution CTF correction using deconvolution
Paper 1997Zhu_RecCTF CTF correction and reconstruction
Paper 2000DeRosier_EwaldCorrection CTF correction considering the Ewald sphere
Paper 2000Jensen_TiltedCorrection CTF correction considering tilt in backprojection
Paper 2001Saad_CTFEstimate CTF estimation
Paper 2003Huang_CTFEstimate CTF estimation
Paper 2003Mindell_CTFTILT CTF estimation for tilted micrographs
Paper 2003Sander_MSA CTF estimation through MSA classification of PSDs
Paper 2003Velazquez_ARMA PSD and CTF estimation using ARMA models
Paper 2004Sorzano_IDR CTF restoration and reconstruction with Iterative Data Refinement
Conference 2004Wan_CTF Spatially variant CTF
Paper 2004Zubelli_Chahine CTF restoration and reconstruction with Chahine's multiplicative method
Conference 2005Dubowy_SpaceVariant CTF correction when this is space variant
Paper 2005Mallick_ACE CTF estimation
Paper 2006Wolf_Ewald CTF correction considering Ewald sphere
Paper 2007Jonic_EnhancedPSD PSD enhancement for better identification of Thon rings; Vitreous ice diffracts in Thon rings
Paper 2007Philippsen_Model CTF Model for tilted specimens
Paper 2007Sorzano_CTF CTF estimation using enhanced PSDs
Paper 2009Sorzano_Sensitivity Error sensitivity of the CTF models, non-uniqueness of the CTF parameters
Paper 2010Jiang2010_CTFCorrection Amplitude correction method
Paper 2010Kasantsev_CTFCorrection Mathematical foundations of Kornberg and Jensen method
Paper 2010Leong_CTFCorrection Correction for spatially variant CTF
Paper 2011Glaeser_Coma The effect of coma at high-resolution
Paper 2011Mariani_Tilted CTF simulation and correction of tilted specimens
Paper 2011Sindelar_Wiener CTF correction using a modified version of Wiener filter
Paper 2011Voortman_Tilted CTF correction for tilted specimen
Paper 2012Voortman_VaryingCTF Correcting a spatially varying CTF
Paper 2013Vargas_FastDef Fast defocus
Paper 2014Penczek_CTER Estimation of the CTF errors
Paper 2015Rohou_CTFFind4 CTF Find 4
Paper 2015Sheth_CTFquality Visualization and quality assessment of CTF
Paper 2016Zhang_GCTF gCTF
Paper 2018Su_GoCTF goCTF, CTF for tilted specimens
Paper 2020Heimowitz_Aspire CTF determination in Aspire
Paper 2020Zivanov_HighOrder Estimation of high order aberrations

Segmentation

Paper 2006Baker_segmentation Segmentation of molecular subunits
Paper 2010Pintilie_segger Segmentation of molecular subunits
Conference 2017Nissenson_VolumeCut Segmentation of an EM volume using an atomic model
Paper 2019Beckers_FDR Segmentation of the protein using False Discovery Rate
Paper 2020Beckers_FDR Segmentation of the protein using False Discovery Rate (GUI)
Paper 2020Farkas_MemBlob Segmentation of membrane in membrane embedded proteins
Paper 2020Terashi_MainMastSeg Segmentation of proteins into domains
Paper 2021He_EMNUSS EMNUSS: Identification of secondary structure in CryoEM maps with deep learning

Fitting and docking

Paper 1999Volkmann_Fitting Fitting in real space
Paper 2001Baker_Review Review of protein structure prediction
Paper 2001Jones_Review Review of protein structure prediction
Paper 2003Kovacs_FRM3D Fast Rotational Alignment of two EM maps
Paper 2004Tama_NMA1 Flexible fitting with Normal Modes (I)
Paper 2004Tama_NMA2 Flexible fitting with Normal Modes (II)
Paper 2005Velazquez_Superfamilies Recognition of the superfamily folding in medium-high resolution volumes
Paper 2007DeVries_Haddock Docking with Haddock 2.0
Paper 2007Kleywegt_QualityControl Quality control and validation of fitting
Paper 2008Orzechowski_Flexible Flexible fitting with biased molecular dynamics
Paper 2008Rusu_Interpolation Biomolecular pleiomorphism probed by spatial interpolation of coarse models
Paper 2012Biswas_Secondary Secondary structure determination in EM volumes
Paper 2012Velazquez_Constraints Multicomponent fitting by using constraints from other information sources
Paper 2013Chapman MS_Atomicmodeling Atomic modeling of cryo-electron microscopy reconstructions--joint refinement of model and imaging parameters
Paper 2013Esquivel_Modelling Review on modelling (secondary structure, fitting, ...)
Paper 2013Lopez_Imodfit Fitting based on vibrational analysis
Paper 2013Nogales_3DEMLoupe Normal Mode Analysis of reconstructed volumes
Paper 2014AlNasr_Secondary Identification of secondary structure elements in EM volumes
Paper 2014Politis_MassSpect Integration of mass spectroscopy information
Paper 2014Rey_MassSpect Integration of mass spectroscopy information
Paper 2014Villa_Review Review of atomic fitting into EM volumes
Paper 2015Barad_EMRinger Validation of hybrid models
Paper 2015Bettadapura_PF2Fit Fast rigid fitting of PDBs into EM maps
Paper 2015Carrillo_CapsidMaps Analysis of virus capsids using Google Maps
Paper 2015Hanson_Continuum Modelling assemblies with continuum mechanics
Paper 2015Lopez_Review Review of structural modelling from EM data
Paper 2015Schroeder_Hybrid Review on model building
Paper 2015Tamo_Dynamics Dynamics in integrative modeling
Paper 2015Sorzano_AtomsToVoxels Accurate conversion of an atomic model into a voxel density volume
Paper 2016Joseph_Evolution Evolutionary constraints for the fitting of atomic models into density maps
Paper 2016Joseph_Refinement Refinement of atomic models in high-resolution EM reconstructions using Flex-EM
Paper 2016Murshudov_Refinement Refinement of atomic models in high-resolution EM reconstructions
Paper 2016Segura_3Diana Validation of hybrid models
Paper 2016Singharoy_MDFF Construction of hybrid models driven by EM density and molecular dynamics
Paper 2016Wang_Rosetta Construction of hybrid models driven by EM density using Rosetta
Paper 2017Chen_CoarseGraining Coarse graining of EM volumes
Paper 2017Joseph_Metrics Metrics analysis for the comparison of structures
Paper 2017Hryc_WeightedAtoms Construction of hybrid models by locally weighting the different atoms
Paper 2017Matsumoto_Distribution Estimating the distribution of conformations of atomic models
Paper 2017Michel_ContactPrediction Structure prediction by contact prediction
Paper 2017Miyashita_EnsembleFitting Ensemble fitting using Molecular Dynamics
Paper 2017Turk_ModelBuilding Tutorial on model building and protein visualization
Paper 2017Wang_PartialCharges Appearance of partial charges in EM maps
Paper 2017Wlodawer Comparison of X-ray and EM high resolution structures
Paper 2018Cassidy_review Review of methods for hybrid modeling
Paper 2018Chen_SudeChains A comparison of side chains between X-ray and EM maps
Paper 2018Kawabata_Pseudoatoms Modelling the EM map with Gaussian pseudoatoms
Paper 2018Kovacs_Medium Modelling of medium resolution EM maps
Paper 2018Neumann_validation Validation of fitting, resolution assessment and quality of fit
Paper 2018Terwilliger_map_to_model Phenix map_to_model, automatic modelling of EM volumes
Paper 2018Wang_MD Constructing atomic models using molecular dynamics
Paper 2018Xia_MVPENM Multiscale Normal Mode Analysis
Paper 2018Yu_Atomic Constructing atomic models using existing tools
Paper 2019Bonomi_Multiscale Bayesian multi-scale modelling
Paper 2019Kidmose_Namdinator Namdinator: Flexible fitting with NAMD
Paper 2019Klaholz_Review Review of Phenix tools to modelling
Paper 2019Subramaniya_DeepSSE Secondary structure prediction from maps using deep learning
Paper 2019Zhang_CoarseGrained Coarse-graining of EM maps
Paper 2020Costa_MDeNM Flexible fitting with molecular dynamics and normal modes
Paper 2020Cragnolini_Tempy2 TEMpy2 library for density-fitting and validation
Paper 2020Dodd_ModelBuilding Model building possibilities, with special emphasis on flexible fitting
Paper 2020Ho_CryoID Identification of proteins in structural proteomics from cryoEM volumes
Paper 2020Hoh_Buccaneer Structure modelling with Buccaneer
Paper 2020Joseph_comparison Comparison of map and model, or two maps
Paper 2020Kim_Review Review of the options for atomic modelling
Paper 2020Leelananda_Constraints NMR Chemical Shifts and Cryo-EM Density Restraints in Iterative Rosetta-MD structure refinement
Paper 2020Liebschner_Ceres CERES: Web server of refined atomic maps of CryoEM deposited maps by Phenix
Paper 2020Oroguchi Assessment of Force Field Accuracy Using Cryogenic Electron Microscopy Data
Paper 2020Vant_Flexible Flexible fitting with molecular dynamics and neural network potentials
Paper 2021Behkamal_Secondary Secondary structure from medium resolution maps
Paper 2021Chojnowski_quality Quality of models automatically fitted with ARP/wARP
Paper 2021Han_Vesper VESPER: global and local cryo-EM map alignment using local density vectors
Paper 2021Lawson_Challenge Validation recommendations based on outcomes of the 2019 EMDataResource challenge
Paper 2021Mori_Flexible Efficient Flexible Fitting Refinement with Automatic Error Fixing
Paper 2021Pfab_DeepTracer DeepTracer for fast de novo cryo-EM protein structure modeling
Paper 2021Saltzberg_IMP Using the Integrative Modeling Platform to model a cryoEM map
Paper 2021Terwilliger_CryoID Identification of sequence in a CryoEM map from a set of candidates
Paper 2021Titarenko_LocalCorr Performance improvement of local correlation for docking
Conference 2021Vuillemot_NMA Flexible fitting using a combined Bayesian and Normal Mode approach with Hamiltonian Monte Carlo sampling
Paper 2022Antanasijevic_ab Sequence determination of antibodies bound to a map
Paper 2022Behkamal_LPTD LPTD: Topology determination of CryoEM maps
Paper 2022Chojnowski_findMySeq Identify sequence in CryoEM map using Deep Learning
Paper 2022Hryc_Pathwalking Atomic modelling with Pathwalking
Paper 2022He_EMBuild Atomic modelling for complexes with EMbuild
Paper 2022Krieger_Prody2 Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0
Paper 2022Neijenhuis_Haddock Protein-protein interface refinement in complex maps with Haddock2.4
Paper 2022Urzhumtsev_Direct Calculation of the EM map from an atomic model
Paper 2022Urzhumtsev_XrayEM Effect of the local resolution on the atomic modeling
Paper 2022Vuillemot_NMMD NMMD: Flexible fitting with simultaneous Normal Mode and Molecular Dynamics displacements
Paper 2022Zhang_CRITASSER Atomic models of assemble protein structures with deep learning
Paper 2023Blau_FittingML Maximum-likelihood fitting of atomic models in EM maps
Paper 2023Chang_CryoFold Flexible fitting into cryo-EM maps with CryoFold (a MELD plugin)
Paper 2023Millan_LL Likelihood-based docking of models into cryo-EM maps
Paper 2023Park_CSA Atomic model fitting using conformational space annealing
Paper 2023Read_LL Likelihood-based signal and noise analysis for docking of models into cryo-EM maps
Paper 2023Reggiano_MEDIC Evaluation of atomic models using MEDIC
Paper 2023Terashi_DAQrefine Atomic model refinement using AlphaFold2 and DAQ
Paper 2023Terashi_DeepMainMast DeepMainMast: de novo modelling of CryoEM maps
Paper 2023Wang_CryoREAD CryoREAD: de novo modelling of nucleic acids

Books and reviews

Book 1980Herman_Tomography General book on tomography
Book 1988Kak_Tomography General book on tomography
Paper 2000Tao_Review Review of single particles
Paper 2000VanHeel_Review Review of single particles
Paper 2002Frank_Review Review of single particles
Paper 2002Schmid_Review Review of single particles
Paper 2004Henderson_Review Review of electron microscopy
Paper 2004Subramaniam_Review Review of single particles
Paper 2005Steven_Review Review of electron microscopy
Paper 2006Fernandez_Review Review of electron microscopy
Book 2006Frank_book Book covering all aspects of electron microscopy of single particles
Paper 2006Sorzano_Review Review of optimization problems in electron microscopy
Paper 2007Leschziner_Review Review of 3D heterogeneity handling algorithms
Paper 2007Sorzano_Review Review of the image processing steps
Paper 2008Fanelli_ImageFormation Review on the image formation model from the electron waves and open inverse-problems in Electron Tomography
Paper 2008Fernandez_HPCReview High performance computing in electron cryomicroscopy
Paper 2008Jonic_Review Comparison between electron tomography and single particles
Paper 2008Mueller_Review Review of Electron microscopy
Paper 2008Taylor_Review Review of Electron microscopy
Paper 2010DeRosier_Review Personal account of how 3DEM developed in the early days
Chapter 2012Sorzano_Review Review of single particle analysis using Xmipp
Chapter 2012Devaux_Protocol Protocols for performing single particle analysis
Paper 2014Bai_Review Recent advances in cryo-EM
Paper 2015Carazo_Review Review of the reconstruction process
Paper 2015Cheng_Review A primer to Single Particle Cryo-EM
Paper 2015Cheng_Reviewb Single Particle Cryo-EM at crystallographic resolution
Paper 2015Elmlund_Review Recent advances in cryo-EM
Paper 2015Henderson_Review Recent advances in cryo-EM
Paper 2015Nogales_Review Recent advances in cryo-EM
Paper 2015Schroeder_Review Review of advances in the electron microscope
Paper 2015VanDenBedem_Integrative Review of integrative structural biology
Paper 2015Wu_Review Review of advances in cryo-EM
Paper 2016Carroni_CryoEM Review of advances in Cryo-EM
Paper 2016Egelman_CryoEM Review of advances in Cryo-EM
Paper 2016Eisenstein_CryoEM News feature on the Method of the Year
Paper 2016FernandezLeiro_Review Review of EM
Paper 2016Glaeser_HowGood How good can cryo-EM become?
Paper 2016Jonic_PseudoAtoms Review of the applications of the use of pseudoatoms in EM
Chapter 2016Mio_Review Overview of the process to obtain EM reconstructions
Paper 2016Jonic_Review A review of computational ways to handle heterogeneity
Paper 2016Nogales_Review Review of advances in cryo-EM
Paper 2016Subramaniam_Review Why cryo-EM is now suitable for crystallographic journals
Paper 2016Vinothkumar_Review Historical review and current limitations
Report 2017Brezinski_Nobel Scientific background on the Nobel Prize in Chemistry 2017
Paper 2017Cheng_review Why CryoEM became so hot
Paper 2017Danev_Review Review of the use of phase plates in EM
Paper 2017Elmlund_Review Review of the main current difficulties of EM
Paper 2017Frank_Review Historical review of EM
Paper 2017Frank_TimeResolved Review of time-resolved of EM
Paper 2017Jonic_Review Review of computational methods to analyze conformational variability
Paper 2017Merino_DrugEM Applications of EM for drug design
Paper 2017Rawson_Limitations Limitations of EM for drug design
Paper 2017Sorzano_FourierProperties Review of statistical properties of resolution measures defined in Fourier space
Paper 2017Sorzano_SurveyIterative Survey of iterative reconstruction methods for EM
Paper 2018Bruggeman_Crowdsourcing Exploring crowdsourcing for EM image processing
Paper 2018Cheng_Review Review of EM and future ahead
Paper 2018Cossio_ML Review of Maximum Likelihood methods
Paper 2018Grimes_Crystallography Review of X-ray crystallography and its relationship to EM
Paper 2018Murata_Review Review of EM for structure dynamics
Paper 2018Quentin_Biomedical Review of EM as a tool for biomedical research
Paper 2018Scapin_DrugDiscovery Review of EM as a tool for drug discovery
Paper 2018Vilas_ImageProcessing Review of the recent developments in image processing for single particle analysis
Paper 2018vonLoeffelholz_VPP Comparison of Volta Phase Plate reconstructions close to focus and with defocus
Paper 2018Eisenstein_DrugDesigners Drug designers embrace cryo-EM
Paper 2019Benjin_Review Review of SPA
Paper 2019Danev_Review Review of future directions
Paper 2019Lyumkis_Review Challenges and reviews
Paper 2019Sorzano_Review Review of continuous heterogeneity biophysics
Paper 2020Abriata_Review Considerations of structure prediction and CryoEM
Paper 2020Akbar_Review Review of membrane protein reconstructions
Paper 2020Bendory_Review Review of image processing problems
Paper 2020Dubach_Review Review of resolution in X-ray crystallography and CryoEM
TechReport 2020Lai_Statistics Review of statistical properties of image alignment
Paper 2020Hu_Quaternions Review of the use of quaternions to describe rotations
Paper 2020McCafferty_Review Review of SPA and Mass Spectroscopy
Paper 2020Seffernick_Hybrid Review of hybrid (computational and experimental) methods to get protein structure
Paper 2020Nakane_Atomic Single-particle cryo-EM at atomic resolution
Paper 2020Vilas_Review Review of local resolution
Paper 2020Wu_Review Review of current limitations, with special emphasis on protein size
Paper 2020Singer_Sigworth_Review Review of single particle analysis
Paper 2021Bai_Review Review of breakthroughs leading to atomic resolution
Paper 2021DImprima_Review Review of sample preparation for single particle analysis
Paper 2021Lander_Review Review of focused analysis in SPA
Paper 2021Raimondi_Review General review of SPA
Paper 2022Beton_Fitting Review of fitting in SPA
Paper 2022Burley_PDB Review of cryoEM derived structures at PDB
Paper 2022Caldraft_Tilt Review of applications of tilt pairs in SPA
Paper 2022Donnat_GAN Review of Generative modelling with neural networks
Paper 2022Guaita_Review Recent advances and current trends in cryo-electron microscopy
Paper 2022Jones_Comment Comment on the impact of AlphaFold and next challenges ahead
Paper 2022Namba_Review Review of the current state of SPA
Paper 2022Ourmazd_Comment Comment on the impact of AlphaFold and next challenges ahead
Paper 2022Palmer_Local Review of local methods in CryoEM
Paper 2022Sorzano_1000 CryoEM is the field of 1000+ methods
Paper 2022Subramaniam_Comment Comment on the impact of AlphaFold and next challenges ahead
Paper 2022Treder_DL Review of Deep Learning applications in CryoEM
Paper 2022Vant_MD Review of Molecular Dynamics analysis of CryoEM maps
Paper 2023Amann_TimeResolved Review of time-resolved cryoEM
Paper 2023Bai_Challenges Challenges and opportunities in structure determination
Paper 2023Liu_AWI Review of the Air-Water Interface
Paper 2023Lucas_Structureome Review of the localization of proteins and complexes in their cellular context
Paper 2023Miyashita_MD Review of the use of molecular dynamics in atomic modelling
Paper 2023Si_DeNovo Review of the de-novo atomic modelling
Paper 2023Tang_Conformational Review of conformational heterogeneity and probability distributions
Paper 2023Toader_Heterogeneity Review of continuous heterogeneity

Software

Paper 1996Frank_Spider Spider
Paper 1996VanHeel_Imagic Imagic
Paper 1999Lutdke_Eman Eman
Paper 2004Sorzano_Xmipp Xmipp
Paper 2007Baldwin_AngularTransformations The Transform Class in SPARX and EMAN2
Paper 2007Heymann_Bsoft Bsoft
Paper 2007Grigorieff_Frealign Frealign
Paper 2008Scheres_XmippProtocols Xmipp Protocols
Paper 2008Shaikh_SpiderProtocols Spider Protocols
Paper 2012Wriggers_SitusConventions Conventions and workflows in Situs
Paper 2013DeLaRosa_Xmipp30 Xmipp 3.0
Paper 2015Cianfrocco_Cloud Software execution in the cloud
Paper 2015Cheng_MRC2014 Extensions to MRC file format
Paper 2013DeLaRosa_Scipion Scipion
Paper 2016Scheres_Relion Tutorial on the use of Relion
Paper 2016Grigorieff_Frealign Tutorial on the use of Frealign
Paper 2017Moriya_Sphire Tutorial on the use of Sphire
Paper 2018Bell_EMAN2 New tools in EMAN2
Paper 2018Cianfrocco_cloud CryoEM Cloud Tools
Paper 2018Grant_cisTEM cisTEM
Paper 2018McLeod_MRCZ MRC Compression format
Paper 2018Zivanov_Relion3 Relion 3
Paper 2020Caesar_Simple3 Simple 3
Paper 2021Baldwin_SCF Visualizer of the Sampling Compensation Factor
Paper 2021Jimenez_Scipion Scipion workflow example for image processing
Paper 2021Kimanius_Relion4 Changes in Relion 4.0
Paper 2021Maji_BlackBox Exploration of image processing concepts
Paper 2021Sharov_Relion Use of Relion within Scipion
Paper 2021Sorzano_Scipion Use of Scipion as a way to compare the results of multiple methods
Paper 2021Strelak_Xmipp Advances in Xmipp
Paper 2022DiIorio_Multiple A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion.
Paper 2022Fluty_Precision Precision requirements and data compression
Paper 2022Harastani_ContinuousFlex ContinuousFlex: Software for continuous heterogeneity analysis in cryo-EM and cryo-ET
Paper 2023Cheng_AutoEMage AutoEMage: a system for processing in streaming (SPA)
Paper 2023Conesa_Scipion3 Scipion3: A workflow engine for cryoEM
Paper 2023Krieger_ScipionPrody Scipion-EM-Prody: Interface between Scipion and Prody (Structural Analysis)
Paper 2023Short_MRC2020 MRC2020: improvements to Ximdisp and the MRC image-processing programs
Paper 2024Vuillemot_MDSPACE MDSpace and MDTomo to analyze continuous heterogeneity

Electron tomography

Image preprocessing

Paper 2015Yan_thickness Determination of thickness, tilt and electron mean free path
Paper 2018Wu_contrast Contrast enhancement to improve alignability

Image alignment

Paper 1982Guckenberger_commonOrigin Determination of a common origin in the micrographs of titl series in three-dimensional electron microscopy
Paper 1992Lawrence_leastSquares Least squares solution of the alignment problem
Paper 1995Penczek_dual Dual tilt alignment
Paper 1996Owen_alignmentQuality Automatic alignment without fiducial markers and evaluation of alignment quality
Paper 1998Grimm_normalization Discussion of several gray level normalization methods for electron tomography
Paper 2001Brandt_Automatic1 Automatic alignment without fiducial markers
Paper 2001Brandt_Automatic2 Automatic alignment with fiducial markers
Paper 2006Winkler_alignment Marker-free alignment and refinement
Paper 2006Castano_alignment Alignment with non-perpendicularity
Paper 2007Castano_alignment Fiducial-less alignment of cryo-sections
Paper 2009Sorzano_alignment Marker-free alignment and refinement
Paper 2010Cantele_dualAlignment Alignment of dual series
Paper 2014Tomonaga_Automatic Automatic alignment of tilt series using the projection themselves
Paper 2014Han_Automatic Automatic alignment of tilt series using SIFT features
Paper 2015Han_Automatic Automatic alignment of tilt series using fiducials
Paper 2017Mastronarde_Automatic Automatic alignment and reconstruction of tilt series in IMOD
Paper 2018Fernadez_Beam Image alignment considering beam induced motion
Paper 2018Han_Fast Automatic alignment using fiducial markers
Paper 2019Fernandez_residual Alignment of tilt series using residual interpolation
Paper 2019Han_Dual Automatic alignment using fiducial markers in dual tilt series
Paper 2020Sorzano_automatic Automatic alignment considering several geometrical distortions
Paper 2021Han_LocalConstraints Automatic alignment considering local constraints
Paper 2022Zheng_Aretomo Automatic alignment based on projection matching

CTF estimation and restoration

Paper 2003Winkler_CTF Focus gradient correction in electron tomography
Paper 2006Fernandez_CTF CTF determination and correction in electron tomography
Paper 2009Zanetti_CTF CTF determination and correction in electron tomography
Paper 2009Xiong_CTF CTF determination and correction for low dose tomographic tilt series
Paper 2012Eibauer_CTF CTF determination and correction
Paper 2015Bharat_CTFCorrectedSubtomogramAveraging Subtomogram averaging with CTF correction using a Bayesian prior
Paper 2017Turonova_3DCTF 3D CTF Correction
Paper 2017Kunz_3DCTF 3D CTF Correction

3D reconstruction

Paper 1972Gilbert_SIRT Simultaneous Iterative Reconstruction Technique (SIRT)
Paper 1973Herman_ART Algebraic Reconstruction Technique (ART)
Paper 1984Andersen_SART Simultaneous Algebraic Reconstruction Technique (SART)
Paper 1992Radermacher_WBP Weighted Backprojection in electron tomography
Paper 1997Marabini_reconstruction Iterative reconstruction in electron tomography
Paper 2002Fernandez_reconstruction Iterative reconstruction in electron tomography
Paper 2007Radermacher_WBP Weighted Backprojection in electron tomography
Paper 2008Fernandez_CARP Component Averaged Row Projections (CARP)
Paper 2010Xu_Long Iterative reconstructions with long object correction and GPU implementation
Paper 2012Herman General Superiorization Superiorization: an optimization heuristic for medical physics
Paper 2012Zhang_IPET_FETR IPET and FETR, a reconstruction algorithm for a single particle structure determination without any averaging
Paper 2013Goris_SIRT_TV_DART Combination of SIRT, Total Variation and Discrete ART to reconstruct and segment at the same time
Paper 2013Briegel A_Challenge The challenge of determining handedness in electron tomography and the use of DNA origami gold nanoparticle helices as molecular standards
Paper 2013Messaoudi_EnergyFiltered 3D Reconstruction of Energy-Filtered TEM
Paper 2014Paavolainen_Missing Compensation of the missing wedge
Paper 2015Venkatakrishnan_MBIR 3D Reconstruction with priors
Paper 2016Deng_ICON 3D Reconstruction with missing information restoration
Paper 2016Guay_Compressed 3D Reconstruction using compressed sensing
Paper 2016Turonova_Artifacts Artifacts observed during 3D reconstruction
Paper 2019Yan_MBIR 3D Reconstruction with priors and demonstration of its use in biological samples
Paper 2020Sanchez_Hybrid 3D reconstruction with a special acquisition and alignment scheme
Paper 2020Song_Tygress 3D reconstruction with a special acquisition and alignment scheme
Paper 2021Fernandez_TomoAlign 3D reconstruction with sample motion and CTF correction
Paper 2021Geng_Nudim Non-uniform FFT reconstruction and total variation to fill the missing wedge

Noise reduction

Paper 2001Frangakis_NAD Noise reduction with Nonlinear Anisotropic Diffusion
Paper 2003Fernandez_AND Anisotropic nonlinear diffusion for electron tomography
Paper 2003Jiang_Bilateral Bilateral denoising filter in electron microscopy
Paper 2005Fernandez_AND Anisotropic nonlinear denoising in electron tomography
Paper 2007Heide_median Iterative median filtering in electron tomography
Paper 2007Fernandez_autAND Anisotropic nonlinear diffusion with automated parameter tuning
Paper 2009Fernandez_Beltrami Nonlinear filtering based on Beltrami flow
Paper 2010Bilbao_MeanShift Mean Shift Filtering
Paper 2014Kovacik_wedgeArtefacts Removal of wedge artefacts
Paper 2014Maiorca_beadArtefacts Removal of gold bead artefacts
Paper 2018Trampert_Inpainting Removal of the missing wedge by inpainting
Paper 2018Moreno_TomoEED Fast Anisotropic Diffusion
Paper 2018Wu_Enhancement Enhancing the image contrast of electron tomography
Paper 2022Liu_Isonet Isotropic reconstructions using deep learning

Segmentation

Paper 2002Frangakis_Eigenanalysis Segmentation using eigenvector analysis.
Paper 2002Volkmann_Watershed Segmentation using watershed transform.
Paper 2003Bajaj_BoundarySegmentation Segmentation based on fast marching.
Paper 2005Cyrklaff_Thresholding Segmentation using optimal thresholding.
Paper 2007Lebbink_TemplateMatching Segmentation using template matching.
Paper 2007Sandberg_OrientationFields Segmentation using orientation fields.
Paper 2007Sandberg_SegmentationReview Review on segmentation in electron tomography.
Paper 2008Garduno_FuzzySegmentation Segmentation using fuzzy set theory principles.
Paper 2009Lebbink_TemplateMatching2 Segmentation using template matching.
Paper 2012RubbiyaAli_EdgeDetection Parameter-Free Segmentation of Macromolecular Structures.
Conference 2015Xu_TemplateMatching Detection of macromolecular complexes with a reduced representation of the templates.
Paper 2017Ali_RAZA Automated segmentation of tomograms
Paper 2017Chen_Annotation Automated annotation of tomograms
Paper 2017Tasel_ActiveContours Segmentation with active contours
Paper 2017Xu_DeepLearning Finding proteins in tomograms using deep learning
Paper 2018Zeng_DeepLearning Mining features in Electron Tomography by deep learning
Paper 2020Salfer_PyCurv Curvature analysis of segmented tomograms
Paper 2021Dimchev_filaments Segmentation of filaments in tomograms
Paper 2022Frangakis_Curvature Use of mean curvature for segmentation and visualization of tomograms
Paper 2022Lamm_MemBrain Membrane segmentation using deep learning
Paper 2023Zeng_AITOM Structural pattern mining by unsupervised deep iterative subtomogram clustering

Resolution

Paper 2005Cardone_Resolution Resolution criterion for electron tomography
Chapter 2007Penczek_Resolution Review of resolution criteria for electron tomography
Paper 2015Diebolder_ConicalFSC Conical Fourier Shell Correlation
Paper 2020Vilas_Monotomo Resolution determination in tomograms

Subtomogram analysis

Paper 2000Bohm_Template Macromolecule finding by template matching
Paper 2002Frangakis_Template Macromolecule finding by template matching
Paper 2006Nickell_Review Review of macromolecule finding by template matching (Visual Proteomics)
Paper 2007Best_Review Review of Localization of Protein Complexes by Pattern Recognition
Paper 2007Forster_Review Review of structure determination by subtomogram averaging
Paper 2008Forster_Classification Classification of subtomograms using constrained correlation
Paper 2008Bartesaghi_Classification Classification and averaging of subtomograms
Paper 2008Schmid_Averaging Alignment and averaging of subtomograms
Paper 2010Amat_Averaging Alignment and averaging of subtomograms exploiting thresholding in Fourier space
Paper 2010Yu_PPCA Probabilistic PCA for volume classification
Paper 2013Chen_Averaging Fast alignment of subtomograms using spherical harmonics
Paper 2013Kuybeda_Averaging Alignment and averaging of subtomograms using the nuclear norm of the cluster
Paper 2013Shatsky_Averaging Alignment and averaging of subtomograms with constrained cross-correlation
Paper 2013Yu_Projection Subtomogram averaging by aligning their projections
Paper 2014Chen_Autofocus Subtomogram averaging and classification with special attention to differences
Paper 2014Yu_ReferenceBias Scoring the reference bias
Paper 2014Voortman_LimitingFactors Limiting factors of subtomogram averaging
Paper 2015Bharat_CTFCorrectedSubtomogramAveraging Subtomogram averaging with CTF correction using a Bayesian prior
Paper 2015Yu_ReferenceBias Scoring the reference bias
Paper 2016Bharat_Relion Subtomogram averaging with Relion
Paper 2016Song_MatrixNorm Matrix norm minimization for tomographic reconstruction and alignment
Paper 2017Castano_ParticlePicking Particle picking in tomograms for subtomogram averaging
Paper 2017Frazier_Tomominer TomoMiner a software platform for large-scale subtomogram analysis
Paper 2018Himes_emClarity emClarity for subtomogram averaging
Paper 2018Zhao_Fast Fast alignment and maximum likelihod for subtomogram averaging
Paper 2019Fokine_Enhancement Subtomogram enhancement through the locked self-rotation
Paper 2019Han_Constrained Constrained reconstruction to enhance resolution
Paper 2020Basanta_workflow Workflow for subtomogram averaging
Paper 2021Cheng_Native 3D reconstruction only with 0-tilt images
Paper 2021Du_Active Active learning to reduce the need of annotated samples
Paper 2021Harastani_HEMNMA3D HEMNMA-3D: Continuous flexibility analysis of subtomograms using normal modes
Paper 2021Lucas_Cistem Identification of particles in tomograms using Cistem
Paper 2021Scaramuzza_Dynamo Subtomogram averaging workflow using Dynamo
Paper 2021Singla_Measures Analysis of different measures to analyze subtomogram clusters
Paper 2021Tegunov_M Image processing workflow for tilt-series (introduction of M)
Conference 2021Zeng_OpenSet Unsupervised open set classification using deep learning
Paper 2022Boehning_CompressedSensing Compressed sensing for subtomogram averaging
Paper 2022Hao_Picking Detection of molecules in tomograms
Paper 2022Harastani_TomoFlow TomoFlow: Continuous flexibility analysis of subtomograms using 3D dense optical flow
Paper 2022Metskas_STA Tricks for a better Subtomogram Averaging
Paper 2022Moebel_unsupervised Unsupervised classification of subtomograms using neural networks
Paper 2022Peters_Feature Feature guided, focused 3D signal permutation for STA
Paper 2023Balyschew_TomoBEAR TomoBEAR: tilt series alignment, reconstruction and subtomogram averaging
Paper 2023Chaillet_Extensive Extensive angular sampling for picking in tomograms
Paper 2023Cheng_GisSPA Detection of protein targets in 0-tilt images
Paper 2023Genthe_PickYolo Subtomogram picking in tomograms

Single particle tomography

Paper 2012Bartesaghi_Constrained 3D reconstruction by imposing geometrical constraints
Paper 2012Zhang_IPET_FETR FETR: a focused reconstruction algorithm for a single molecule 3D structure determination without any averaging
Paper 2015Galaz_SingleParticleTomography Set of tools for Single Particle Tomography in EMAN2
Paper 2016Galaz_SingleParticleTomography Alignment algorithms and CTF correction

Missing-wedge correction

Paper 2020Kovacs_Filaments Removal of missing wedge artifacts in filamentous tomograms
Paper 2020Moebel_MCMC Missing wedge correction with Monte Carlo Markov Chains
Paper 2020Zhai_LoTTor Missing-wedge correction by LoTTor (Low-Tilt Tomographic 3D Reconstruction for a single molecule structure)
Paper 2023Zhang_REST Missing-wedge correction with neural networks

Molecular 3D dynamics

Paper 2015Zhang_IPET 3D Structural Dynamics of Macromolecules by individual-particle structures without averaging
Paper 2023Vuillemot_MDTOMO 3D Structural Dynamics of using molecular dynamics and normal modes

Books and reviews

Paper 2000Baumeister_Review Review of electron tomography
Paper 2003Koster_Review Review of electron tomography
Paper 2003Sali_Review Review of electron tomography
Paper 2004Henderson_Review Review of electron microscopy
Paper 2005Lucic_Review Review of electron tomography
Paper 2006Fernandez_Review Review of electron microscopy
Book 2006Frank_TomoBook Electron Tomography
Book 2007McIntosh_Book Cellular Electron Microscopy
Paper 2007Sorzano_Review Review of the image processing steps
Paper 2008Fanelli_ImageFormation Review on the image formation model from the electron waves and open inverse-problems
Paper 2008Fernandez_HPCReview High performance computing in electron cryomicroscopy
Paper 2008Jonic_Review Comparison between electron tomography and single particles
Paper 2012Kudryashev_Review Review of subtomogram averaging
Paper 2013Briggs_Review Review of subtomogram averaging
Paper 2016Beck_Review Review of molecular sociology
Paper 2016Ercius_Review Electron tomography for hard and soft materials research
Paper 2017Galaz_Review Review of single particle tomography
Paper 2017Plitzko_Review Review of electron tomography, FRET and FIB milling
Paper 2019Schur_Review Review of electron tomography and subtomogram averaging
Paper 2021Frangakis_Review Review of tomogram denoising in electron tomography
Paper 2022Forster_Review Review of subtomogram averaging
Paper 2022Liedtke_Review Review of electron tomography in bacterial cell biology
Paper 2022Liu_Review Review of beam image shift and subtomogram averaging
Paper 2023Kim_Review Review of particle picking and volume segmentation
Paper 2023Ochner_Review Review of electron tomography as a way to visualize macromolecules in their native environment
Paper 2023Zhao_Review Review of computational methods for electron tomography

Software

Paper 1996Kremer_IMOD IMOD
Paper 1996Chen_Priism/IVE Priism/IVE
Paper 1996Frank_Spider Spider
Paper 2004Sorzano_Xmipp Xmipp
Paper 2005Nickell_TOM TOM Toolbox
Paper 2007Messaoudi_TomoJ TomoJ
Paper 2008Heymann_BsoftTomo Bsoft
Paper 2012Zhang IPET FETR IPET
Paper 2015Ding_CaltechTomography Caltech tomography database
Paper 2015Noble_AppionProtomo Batch fiducial-less tilt-series alignment in Appion using Protomo
Paper 2015vanAarle_Astra ASTRA Toolbox
Paper 2016Liu_FullMechTomo Fully mechanically controlled automated electron microscopic tomography
Paper 2017Han_AuTom Software platform for Electron Tomography
Paper 2017Wan_Simulator Electron Tomography Simulator
Paper 2021Burt_RWD Interoperability between Relion, Warp M, and Dynamo
Paper 2022Jimenez_ScipionTomo Electron tomography within Scipion
Paper 2022Martinez_PyOrg Point pattern analysis for coordinates in tomograms
Paper 2022Ni_EmClarity Processing protocols with EmClarity
Paper 2023Liu_NextPYP NextPYP: a software platform for cryoET

2D Crystals

2D Preprocessing

Paper 1982Saxton_Averaging Radial Correlation Function
Paper 1984Saxton_Distortions 3D Reconstruction of distorted crystals
Paper 1986Henderson_Processing General 2D processing
Paper 2000He_PhaseAlignment Phase consistency and Alignment
Paper 2006Gil_Unbending Crystal unbending

Classification

Paper 1988Frank_Classification MSA and classification in electron crystallography
Paper 1996Fernandez_SOM Classification based on self organizing maps
Paper 1998Sherman_MSA Classification based on MSA

3D Reconstruction

Paper 1985Wang_Solvent Solvent flattening
Paper 1990Henderson_Processing General 3D processing
Paper 2004Marabini_ART Algebraic Reconstruction Technique with blobs for crystals (Xmipp)
Paper 2018Biyani_Badlu Image processing for badly ordered crystals

Books and reviews

Paper 1998Walz_Review Review of 2D crystallography
Paper 1999Glaeser_Review Review of 2D crystallography
Paper 2001Ellis_Review Review of 2D crystallography
Paper 2001Glaeser_Review Review of 2D crystallography
Paper 2004Henderson_Review Review of electron microscopy
Paper 2006Fernandez_Review Review of single particles, electron tomography and crystallography
Paper 2007Sorzano_Review Review of the image processing steps

Software

Paper 1996Crowther_MRC MRC
Paper 2004Sorzano_Xmipp Xmipp
Paper 2007Gipson_2dx 2dx
Paper 2007Heymann_Bsoft Bsoft
Paper 2007Philippsen_IPLT IPLT

3D Crystals - MicroED

Sample Preparation

Paper 2016Shi_Preparation Sample Preparation

Data Collection

Paper 2014Nannenga_CR Continuous rotation

Data Processing

Paper 2011Wisedchaisri_PhaseExtension Fragment-based phase extension
Paper 2015Hattne_Processing Data Processing
Paper 2016Hattne_Correction Image correction

Software

Paper 2014Iadanza_Processing Data Processing of still diffraction data

Books and Reviews

Paper 2014Nannenga_Review Review of MicroED
Paper 2016Liu_Review Review of MicroED
Paper 2016Rodriguez_Review Review of MicroED

Helical particles

Filament picking

Paper 2021Thurber_Automated Automated picking of filaments

Filament corrections

Paper 1986Egelman_Curved Algorithm for correcting curved filaments
Paper 1988Bluemke_Pitch Algorithm for correcting filaments with different helical pitches
Paper 2006Wang_Pitch Algorithm for correcting filaments with different helical pitches
Paper 2016Yang_Flexible Algorithm for correcting filaments with flexible subunits
Paper 2019Ohashi_SoftBody Algorithm for correcting filaments with flexible helices

Reconstruction

Paper 1952Cochran_Fourier Fourier Bessel transform of filamentous structures
Paper 1958Klug_Fourier Fourier Bessel decomposition of the projection images
Paper 1970DeRosier_Rec Image processing steps towards 3D reconstruction
Paper 1988Stewart_Rec Image processing steps towards 3D reconstruction
Paper 1992Morgan_Rec Image processing steps towards 3D reconstruction
Paper 2005Wang_Iterative Iterative Fourier-Bessel algorithm
Paper 2007Egelman_Iterative Iterative real-space algorithm
Paper 2010Egelman_Pitfalls Pitfalls in helical reconstruction
Paper 2013Desfosses_Spring Helical processing with Spring
Paper 2015Zhang_seam Workflow for the detection of the lattice seam
Paper 2016Rohou_Frealix Helical processing with Frealix
Paper 2017_He Helical processing with Relion
Paper 2019_Pothula 3D Classification through 2D analysis

Validation

Paper 2014Egelman_ambiguity How to detect incorrect models

Books and reviews

Paper 1970DeRosier_Rec Image processing steps towards 3D reconstruction
Paper 1992Morgan_Rec Image processing steps towards 3D reconstruction
Paper 2004Henderson_Review Review of electron microscopy
Paper 2015Sachse_Review Review of the image processing steps in helical particles
Paper 2021Egelman_Review Review of reconstruction problems in helical structures
Paper 2022Wang_Review Review of reconstruction problems in helical structures

Software

Paper 1996Carragher_Phoelix Phoelix
Paper 1996Crowther_MRC MRC
Paper 1996Owen_Brandeis Brandeis

Icosahedral particles

Reconstruction

Paper 1970Crowther_Rec Reconstruction of icosahedral viruses in Fourier space
Paper 1971Crowther_Rec Reconstruction of icosahedral viruses in Fourier space
Paper 1996Fuller_Rec Reconstruction of icosahedral viruses in Fourier space
Paper 1997Thuman_Rec Reconstruction of icosahedral viruses in Fourier space
Paper 2019Goetschius_Asymmetric Approaches to reconstruct asymmetric features in viruses

Classification

Paper 2005Scheres_Virus Classification of virus capsids in real space

Books and reviews

Paper 1999Baker_Review Review of reconstruction of icosahedral viruses
Paper 1999Conway_Review Review of reconstruction of icosahedral viruses
Paper 2000Thuman_Review Review of reconstruction of icosahedral viruses
Paper 2003Lee_Review Review of reconstruction of icosahedral viruses
Paper 2003Navaza_Review Review of reconstruction of icosahedral viruses
Paper 2006Grunewald_Review Review of reconstruction of icosahedral viruses

Software

Paper 1996Baker_EMPFT EMPFT
Paper 1996Crowther_MRC MRC
Paper 1996Frank_Spider Spider
Paper 1996VanHeel_Imagic Imagic
Paper 2004Sorzano_Xmipp Xmipp
Paper 2013DeLaRosa_Xmipp30 Xmipp 3.0
Paper 2013Morin_Sliz SBGrid SBGrid presentation for eLife

Liquid-cell TEM / in-situ TEM

Paper 2020Ren_LTEM Real-time dynamic imaging of sample in liquid phase

Databases

Paper 2003Boutselakis_EMSD EMSD database
Paper 2005Heymann_Conventions Conventions for software interoperability
Paper 2005Heymann_Conventions Conventions for software interoperability
Paper 2011Kim_CDDB Conformational Dynamics Data Bank
Paper 2011Lawson_EMDB Electron Microscopy Data Bank
Paper 2013Ison_EDAM EDAM, an ontology of bioinformatics operations
Paper 2016Iudin_EMPIAR EMPIAR raw data database
Paper 2016Patwhardan_EMDB EMDB, PDB, ...
Paper 2017Gore_Validation Validations of PDB submissions
Paper 2017Patwhardan_Trends Trends at EMDB
Paper 2017Shao_PDBQuality Quality metrics in PDB
Paper 2018Tawari_search Search of 3D structures in a database using 2D experimental images
Paper 2018wwwPDB_PDB Review of PDB advances
Paper 2022Wang_EMDB Validation analysis of EMDB entries
Paper 2022Westbrook_mmCIF PDBx/mmCIF ecosystem
Blog http://www.mybiosoftware.com Huge list of bioinformatics programs (many of them structural bioinformatics)

Relationship to other structural information sources

Paper 2000Engel_AFM Review of Atomic Force Microscopy
Paper 2001Dimmeler_AFM Constraints from Atomic Force Microscopy
Paper 2003Mobus_EnergyLoss Chemical mapping by energy loss electron tomography
Paper 2004Leapman_EnergyLoss Chemical mapping by energy loss electron tomography
Paper 2004Leapman_Review Review on correlative microscopy
Paper 2005Boudier_EFTETJ Software for Chemical mapping by energy loss electron tomography
Paper 2005Vestergaard_SAXS Example of comparison of 3DEM and Small-angle X-ray scattering
Paper 2007Hamada_SAXS Constraints from Small-angle X-ray scattering
Paper 2013Xu_FRET EM+FRET
Paper 2017Kim_SAXS Compatibility of EM experimental images and SAXS curves
Paper 2018Ando_Correlative Review of correlative microscopy techniques
Paper 2018Sieben_Multicolor Correlative microscopy with superresolution optical images
Paper 2019Huber_EDXS_HAADF Combined reconstruction using EDXS and HAADF data
Paper 2019Jimenez_SAXS Selection of EM initial volumes by SAXS curves
Paper 2022Graziadei_CrossLinking Review on the use of crosslinking mass spectrometry in CryoEM
Paper 2022Klumpe_FIB A modular platform for automated cryo-FIB workflows

X-ray tomography

Paper 2012Oton_ImageFormation Image formation model in X-ray cell microscopy

Mathematical tools necessary

People developing methods

Please, add yourself to this list (due to privacy reasons, please, do not add anyone else to the list without his/her explicit consent). Sort by first name alphabetical order.

Carlos Oscar S. Sorzano: CSIC, Madrid, Spain

Cédric Messaoudi: Institute Curie, Paris, France

Javier Vargas:: CSIC, Madrid, Spain

Joaquín Otón: CSIC, Madrid, Spain

[José Román Bilbao-Castro]: UAL, Almería, Spain; CSIC, Madrid, Spain

[José Miguel de la Rosa Trevín]: Biocomputing Unit CNB-CSIC, Madrid, Spain

Tamir Gonen: Howard Hughes Medical Institute, Ashburn, VA, USA

Tomas Majtner: Biocomputing Unit CNB-CSIC, Madrid, Spain

[Vahid Abrishami]: CSIC, Madrid, Spain

Gang (Gary) Ren: The Molecular Foundry, LBNL, USA

3DEM sites

Editing useful links