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タイトル | High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines. |
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ジャーナル・号・ページ | Structure, Vol. 28, Issue 7, Page 858-869.e3, Year 2020 |
掲載日 | 2020年7月7日 |
著者 | Yilai Li / Jennifer N Cash / John J G Tesmer / Michael A Cianfrocco / |
PubMed 要旨 | 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. |
リンク | Structure / PubMed:32294468 / PubMed Central |
手法 | EM (単粒子) |
解像度 | 3.0 - 3.2 Å |
構造データ | EMDB-21490: EMDB-21491: EMDB-21492: |
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