MediaWiki API result
This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.
Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.
See the complete documentation, or the API help for more information.
{
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{
"logid": 3675,
"ns": 0,
"title": "2025Vivas iceFinder",
"pageid": 3173,
"logpage": 3173,
"revid": 5287,
"params": {},
"type": "create",
"action": "create",
"user": "Vilas",
"timestamp": "2026-09-26T15:37:11Z",
"comment": "Created page with \"== Citation == A. Vivas-Lago, D. Casta\u00f1o-D\u00edez, Few-shot learning for non-vitrified ice segmentation, Scientific Reports, 15, 1, 5501, (2025). == Abstract == This study introduces Ice Finder, a novel tool for quantifying crystalline ice in cryo-electron tomography, addressing a critical gap in existing methodologies. We present the first application of the meta-learning paradigm to this field, demonstrating that diverse tomographic tasks across datasets can be unified...\""
},
{
"logid": 3674,
"ns": 0,
"title": "2026Poudel CryoFSL",
"pageid": 3172,
"logpage": 3172,
"revid": 5285,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2026-09-24T05:19:54Z",
"comment": "Created page with \"== Citation == Poudel, B., Gyawali, R., Dhakal, A., Cheng, J. and Xu, D. 2026. CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs. Briefings in Bioinformatics. 27, 3 (2026), bbag285. == Abstract == Accurate identification of protein particles in cryo-electron microscopy (cryo-EM) micrographs is crucial for high-resolution structure determination, but remains challenging due to the h...\""
},
{
"logid": 3673,
"ns": 0,
"title": "2021Chen Ewald",
"pageid": 3171,
"logpage": 3171,
"revid": 5283,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2026-09-24T05:02:21Z",
"comment": "Created page with \"== Citation == Chen, J.P., Schmidt, K.E., Spence, J.C. and Kirian, R.A. 2021. A new solution to the curved Ewald sphere problem for 3D image reconstruction in electron microscopy. Ultramicroscopy. 224, (2021), 113234. == Abstract == We develop an algorithm capable of imaging a three-dimensional object given a collection of two-dimensional images of that object that are significantly influenced by the curvature of the Ewald sphere. These two-dimensional images cannot b...\""
},
{
"logid": 3672,
"ns": 0,
"title": "2026Burton PASR",
"pageid": 3170,
"logpage": 3170,
"revid": 5281,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2026-09-18T05:08:06Z",
"comment": "Created page with \"== Citation == Burton Smith, R. and Murata, K. 2026. Post-acquisition super resolution for cryo-electron microscopy. IUCrJ. 13, 5 (2026). == Abstract == Recently, reports have demonstrated achieving resolutions beyond the physical Nyquist limit using super resolution acquisition. Here, we demonstrate exceeding this limitation by pre-processing the raw micrograph movies from counting mode data that have already reached the physical Nyquist reconstruction resolution. To...\""
},
{
"logid": 3671,
"ns": 0,
"title": "2026Klaholz Concepts",
"pageid": 3169,
"logpage": 3169,
"revid": 5279,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2026-09-17T05:54:07Z",
"comment": "Created page with \"== Citation == Klaholz, B.P. 2026. A discussion of cryo-EM terminology as the outreach and number of PDB entries expand. IUCrJ. 13, 5 (2026). == Abstract == Cryo electron microscopy (cryo-EM) has made great advances in the last decade, progressively increasing its impact in structural biology as a key method to address molecular structures and mechanisms of various macromolecular complexes. Single-particle cryo-EM will soon equal the number of yearly entries in the Pr...\""
},
{
"logid": 3670,
"ns": 0,
"title": "2025Xu CryoDataBot",
"pageid": 3168,
"logpage": 3168,
"revid": 5277,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2026-09-15T09:15:35Z",
"comment": "Created page with \"== Citation == Xu, Q., Wu, L., Rebelo, M., Feng, S., Yu, X., Farheen, F., Kihara, D. and Zhou, Z.H. 2025. CryoDataBot: a pipeline to curate cryoEM datasets for AI-driven structural biology. GigaScience. 14, (2025), giaf127. == Abstract == Cryogenic electron microscopy (cryoEM) has revolutionized structural biology by enabling atomic-resolution visualization of biomacromolecules. With artificial intelligence (AI) increasing role in newly developed cryoEM tools, task-sp...\""
},
{
"logid": 3669,
"ns": 0,
"title": "2026Sun QwenCryoMarker",
"pageid": 3167,
"logpage": 3167,
"revid": 5275,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2026-09-03T05:57:51Z",
"comment": "Created page with \"== Citation == Sun, Y., Zhao, J., Xu, N., Wang, L., Ding, W. and Li, M. 2026. QwenCryoMarker: a universal post-processing framework for contamination-aware particle cleaning. Acta Crystallographica Sec. D. 82, 9 (2026). == Abstract == Cryo-electron microscopy (cryo-EM) micrographs are frequently contaminated by carbon edges, ice crystals, ethane bubbles and other high-contrast artifacts. These contaminants trigger abundant false positives in automated particle pickers...\""
},
{
"logid": 3668,
"ns": 0,
"title": "2026Kreymer EM",
"pageid": 3166,
"logpage": 3166,
"revid": 5273,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2026-08-31T04:37:26Z",
"comment": "Created page with \"== Citation == Kreymer, S., Singer, A. and Bendory, T. 2026. Expectation-maximization for structure determination directly from cryo-em micrographs. Inverse problems and imaging. 27, (2026), 110. == Abstract == A single-particle cryo-electron microscopy (cryo- EM) measurement, called a micrograph, consists of multiple two-dimensional tomographic projections of a three-dimensional (3-D) molecular structure at unknown locations, taken under unknown viewing directions. A...\""
},
{
"logid": 3667,
"ns": 0,
"title": "2026Jain ProtAcid",
"pageid": 3165,
"logpage": 3165,
"revid": 5271,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2026-08-24T05:12:03Z",
"comment": "Created page with \"== Citation == Jain, A., Cao, K. and Kihara, D. 2026. Computational approaches for protein\u2013DNA/RNA complex modeling for Cryo-EM maps. Current Protocols. 6, 8 (2026), e70409. == Abstract == Cryogenic electron microscopy (cryo-EM) has become a key method in structural biology for determining macromolecular structures. Numerous computational tools have been developed to build atomic models from cryo-EM density maps. However, relatively few tools are available for model...\""
},
{
"logid": 3666,
"ns": 0,
"title": "2025Schafer CryoSift",
"pageid": 3164,
"logpage": 3164,
"revid": 5269,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2026-08-21T05:37:36Z",
"comment": "Created page with \"== Citation == Sch\u00e4fer, J.-H., Calza, A., Hom, K., Damodar, P., Peng, R., Bogdanovi\u0107, N., Lander, G.C., Stagg, S.M. and Cianfrocco, M.A. 2025. CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection. Acta Crystallographica Sec. F. 81, 12 (2025), 517\u2013526. == Abstract == Single-particle cryo-electron microscopy (cryo-EM) has become an essential tool in structural biology. However, automating repetitive tasks remains an ongoing challenge...\""
}
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