https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2022Bouvette_SmartScope 2026-05-24T19:35:49Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2022Bouvette_SmartScope&diff=4376&oldid=prev 2023-07-20T07:57:03Z

<p>Created page with &quot;== Citation == Bouvette, Jonathan / Huang, Qinwen / Riccio, Amanda A. / Copeland, William C. / Bartesaghi, Alberto / Borgnia, Mario J. Automated systematic evaluation of cryo...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Bouvette, Jonathan / Huang, Qinwen / Riccio, Amanda A. / Copeland, William C. / Bartesaghi, Alberto / Borgnia, Mario J. Automated systematic evaluation of cryo-EM specimens with SmartScope. 2022. Elife, Vol. 11, p. e80047 <br /> <br /> == Abstract ==<br /> <br /> Finding the conditions to stabilize a macromolecular target for imaging remains the<br /> most critical barrier to determining its structure by cryo-electron<br /> microscopy (cryo-EM).<br /> While<br /> automation has significantly increased the speed of data collection, specimens are still screened<br /> manually, a laborious and subjective task that often determines the success of a project. Here,<br /> we present SmartScope, the first framework to streamline, standardize, and automate specimen<br /> evaluation in cryo-EM.<br /> SmartScope employs deep-learning-<br /> based<br /> object detection to identify and<br /> classify features suitable for imaging, allowing it to perform thorough specimen screening in a fully<br /> automated manner. A web interface provides remote control over the automated operation of the<br /> microscope in real time and access to images and annotation tools. Manual annotations can be used<br /> to re-train<br /> the feature recognition models, leading to improvements in performance. Our automated<br /> tool for systematic evaluation of specimens streamlines structure determination and lowers the<br /> barrier of adoption for cryo-EM.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://elifesciences.org/articles/80047<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

WikiSysop