Smart data collection for CryoEM

Tristan Bepler¹, Andrew J Borst², Jonathan Bouvette³, Giuseppe Cannone⁴, Songye Chen⁵, Anchi Cheng¹, Ao Cheng⁶, Quanfu Fan⁷, Fanis Grollios⁸, Harshit Gupta⁹, Meghna Gupta¹⁰, Theo Humphreys¹¹, Paul T Kim¹, Huihui Kuang¹, Yilai Li¹², Alex J Noble¹, Ali Punjani¹³, William J Rice¹⁴, Carlos Oscar S Sorzano¹⁵, Scott M Stagg¹⁶, Joshua Strauss¹⁷, Lingbo Yu⁸, Bridget Carragher¹, Clinton S Potter¹⁸

Affiliations

¹ New York Structural Biology Center, New York, NY, USA.
² University of Washington, Institute for Protein Design, Seattle, WA, USA.
³ National Institute of Environmental Health Sciences, NIH, Durham, NC, USA.
⁴ Laboratory for Molecular Biology, Medical Research Council, Cambridge, England.
⁵ California Institute of Technology, Pasadena, CA, USA.
⁶ Northwestern University, Evanston, IL, USA.
⁷ MIT-IBM Watson AI Lab, Cambridge, MA, USA.
⁸ ThermoFisher Scientific, Eindhoven, The Netherlands.
⁹ SLAC National Accelerator Laboratory, Menlo Park, CA, USA.
¹⁰ University of California at San Francisco, San Francisco, CA, USA.
¹¹ Pacific Northwest CryoEM Center, Portland, OR, USA.
¹² University of Michigan, Ann Arbor, MI, USA.
¹³ Structura Biotechnology, Toronto, Canada.
¹⁴ New York University School of Medicine, New York, NY, USA.
¹⁵ Biocomputing Unit, Natl. Center of Biotechnology, CSIC, Madrid, Spain.
¹⁶ Florida State University, Tallahassee, FL, USA.
¹⁷ University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
¹⁸ New York Structural Biology Center, New York, NY, USA. Electronic address: cpotter@nysbc.org.

PMID: 36341954
DOI: 10.1016/j.jsb.2022.107913

Smart data collection for CryoEM

Tristan Bepler et al. J Struct Biol. 2022 Dec.

. 2022 Dec;214(4):107913.

doi: 10.1016/j.jsb.2022.107913. Epub 2022 Oct 28.

Authors

Affiliations

¹ New York Structural Biology Center, New York, NY, USA.
² University of Washington, Institute for Protein Design, Seattle, WA, USA.
³ National Institute of Environmental Health Sciences, NIH, Durham, NC, USA.
⁴ Laboratory for Molecular Biology, Medical Research Council, Cambridge, England.
⁵ California Institute of Technology, Pasadena, CA, USA.
⁶ Northwestern University, Evanston, IL, USA.
⁷ MIT-IBM Watson AI Lab, Cambridge, MA, USA.
⁸ ThermoFisher Scientific, Eindhoven, The Netherlands.
⁹ SLAC National Accelerator Laboratory, Menlo Park, CA, USA.
¹⁰ University of California at San Francisco, San Francisco, CA, USA.
¹¹ Pacific Northwest CryoEM Center, Portland, OR, USA.
¹² University of Michigan, Ann Arbor, MI, USA.
¹³ Structura Biotechnology, Toronto, Canada.
¹⁴ New York University School of Medicine, New York, NY, USA.
¹⁵ Biocomputing Unit, Natl. Center of Biotechnology, CSIC, Madrid, Spain.
¹⁶ Florida State University, Tallahassee, FL, USA.
¹⁷ University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
¹⁸ New York Structural Biology Center, New York, NY, USA. Electronic address: cpotter@nysbc.org.

PMID: 36341954
DOI: 10.1016/j.jsb.2022.107913

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.

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Conflict of interest statement

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Smart data collection for CryoEM

Affiliations

Smart data collection for CryoEM

Authors

Affiliations

Abstract

Conflict of interest statement

Publication types

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

Miscellaneous