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-Structure paper
タイトル | Automated systematic evaluation of cryo-EM specimens with SmartScope. |
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ジャーナル・号・ページ | Elife, Vol. 11, Year 2022 |
掲載日 | 2022年8月23日 |
著者 | Jonathan Bouvette / Qinwen Huang / Amanda A Riccio / William C Copeland / Alberto Bartesaghi / Mario J Borgnia / |
PubMed 要旨 | Finding the conditions to stabilize a macromolecular target for imaging remains the most critical barrier to determining its structure by cryo-electron microscopy (cryo-EM). While automation has ...Finding the conditions to stabilize a macromolecular target for imaging remains the most critical barrier to determining its structure by cryo-electron microscopy (cryo-EM). While automation has significantly increased the speed of data collection, specimens are still screened manually, a laborious and subjective task that often determines the success of a project. Here, we present SmartScope, the first framework to streamline, standardize, and automate specimen evaluation in cryo-EM. SmartScope employs deep-learning-based object detection to identify and classify features suitable for imaging, allowing it to perform thorough specimen screening in a fully automated manner. A web interface provides remote control over the automated operation of the microscope in real time and access to images and annotation tools. Manual annotations can be used to re-train the feature recognition models, leading to improvements in performance. Our automated tool for systematic evaluation of specimens streamlines structure determination and lowers the barrier of adoption for cryo-EM. |
リンク | Elife / PubMed:35997703 / PubMed Central |
手法 | EM (単粒子) |
解像度 | 3.4 Å |
構造データ | EMDB-25764: human DNA polymerase gamma accessory subunit, POLG2 |
由来 |
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