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Smart data collection for CryoEM

delete2022-12-01
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PRE
AI
T
Tristan Bepler
A
Andrew J. Borst
J
Jonathan Bouvette
G
Giuseppe Cannone
S
Songye Chen
A
Anchi Cheng
A
Ao Cheng
Q
Quanfu Fan
F
Fanis Grollios
H
Harshit Gupta
M
Meghna Gupta
T
Theo Humphreys
P
Paul T. Kim
H
Huihui Kuang
Y
Yilai Li
A
Alex J. Noble
A
Ali Punjani
W
William J. Rice
C
Carlos Óscar S. Sorzano
S
Scott M. Stagg
J
Joshua D. Strauss
L
Lingbo Yu
B
Bridget Carragher
C
Clinton S. Potter *
DOI:10.1016/j.jsb.2022.107913delete
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Abstract

Abstract

En 中文
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.
Keywords:
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Journal of Structural Biology cover
Journal of Structural Biology
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2.7
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4.4K
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California Institute of Technology
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State University System of Florida
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national institutes of health (nih) - usa
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university of california san francisco
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consejo superior de investigaciones cientificas (csic)
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New York University
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University of Washington
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Stanford University
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Florida State University
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SLAC National Accelerator Laboratory
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united states department of energy (doe)
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MRC Laboratory Molecular Biology
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university of michigan system
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