2020Li Workflow

From 3DEM-Methods
Revision as of 09:50, 7 July 2020 by WikiSysop (talk | contribs) (Created page with "== Citation == Li, Y.; Cash, J. N.; Tesmer, J. J. G., Cianfrocco, M. A. High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines. Structure, 2020 == Abstract ==...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Citation

Li, Y.; Cash, J. N.; Tesmer, J. J. G., Cianfrocco, M. A. High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines. Structure, 2020

Abstract

Single-particle cryoelectron microscopy (cryo-EM) continues to grow into a mainstream structural biology technique. Recent developments in data collection strategies alongside new sample preparation devices herald a future where users will collect multiple datasets per microscope session. To make cryo-EM data processing more automatic and user-friendly, we have developed an automatic pipeline for cryo-EM data preprocessing and assessment using a combination of deep-learning and image-analysis tools. We have verified the performance of this pipeline on a number of datasets and extended its scope to include sample screening by the user-free assessment of the qualities of a series of datasets under different conditions. We propose that our workflow provides a decision-free solution for cryo-EM, making data preprocessing more generalized and robust in the high-throughput era as well as more convenient for users from a range of backgrounds.

Keywords

Links

https://www.sciencedirect.com/science/article/abs/pii/S0969212620300800

Related software

Related methods

Comments