National Institutes of Health/National Heart, Lung, and Blood Institute (NIH/NHLBI)
R01-CA-221289
United States
Citation
Journal: Structure / Year: 2020 Title: High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines. Authors: Yilai Li / Jennifer N Cash / John J G Tesmer / Michael A Cianfrocco / 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 ...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.
History
Deposition
Feb 28, 2020
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Header (metadata) release
Mar 11, 2020
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Map release
Mar 11, 2020
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Update
Jul 22, 2020
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Current status
Jul 22, 2020
Processing site: RCSB / Status: Released
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