Smart data collection for CryoEM

• Published in: Journal of structural biology Vol. 214; no. 4; p. 107913
• Main Authors: Bepler, Tristan, Borst, Andrew J., Bouvette, Jonathan, Cannone, Giuseppe, Chen, Songye, Cheng, Anchi, Cheng, Ao, Fan, Quanfu, Grollios, Fanis, Gupta, Harshit, Gupta, Meghna, Humphreys, Theo, Kim, Paul T., Kuang, Huihui, Li, Yilai, Noble, Alex J., Punjani, Ali, Rice, William J., Oscar S. Sorzano, Carlos, Stagg, Scott M., Strauss, Joshua, Yu, Lingbo, Carragher, Bridget, Potter, Clinton S.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-12-2022
• Subjects: Data Collection
• ISSN: 1047-8477; 1095-8657
• DOI: 10.1016/j.jsb.2022.107913

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•Overview of discussions from Workshop on Smart Data Collection for CryoEM on April 6–7, 2022 in NYC.•Four smart data collection packages presented.•SmartScope, Smart Leginon, Smart EPU and CryoRL.•Discussion of Assessment Metrics: How can “good” images with “good” particles be recognized?•Desire for publicly available labeled datasets for ML development and foundational learning.•Need for Standard ML interfaces to data collection packages.
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.