Published December 2022
| public
Journal Article
Smart data collection for CryoEM
- Creators
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Bepler, Tristan
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Borst, Andrew J.
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Bouvette, Jonathan
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Cannone, Giuseppe
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Chen, Songye
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Cheng, Anchi
- Cheng, Ao
- Fan, Quanfu
- Grollios, Fanis
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Gupta, Harshit
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Gupta, Meghna
- Humphreys, Theo
- Kim, Paul T.
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Kuang, Huihui
- Li, Yilai
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Noble, Alex J.
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Punjani, Ali
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Rice, William J.
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S. Sorzano, Carlos Oscar
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Stagg, Scott M.
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Strauss, Joshua
- Yu, Lingbo
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Carragher, Bridget
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Potter, Clinton S.
Chicago
An error occurred while generating the citation.
Abstract
This report provides an overview of the discussions, presentations, and consensus thinking from the Workshop on Smart Data Collection for CryoEM held at the New York Structural Biology Center on April 6–7, 2022. The goal of the workshop was to address next generation data collection strategies that integrate machine learning and real-time processing into the workflow to reduce or eliminate the need for operator intervention.
Additional Information
We are grateful for financial support for this workshop from NIH NIGMS GM103310, Simons Foundation (SF349247), and Thermo Fisher Scientific.Additional details
- Eprint ID
- 118317
- Resolver ID
- CaltechAUTHORS:20221212-796622400.30
- NIH
- GM103310
- Simons Foundation
- SF349247
- Thermo Fisher Scientific
- Created
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2023-01-13Created from EPrint's datestamp field
- Updated
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2023-01-17Created from EPrint's last_modified field