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TOPAZ: A Positive-Unlabeled Convolutional Neural Network CryoEM Particle Picker that can Pick Any Size and Shape Particle

Published online by Cambridge University Press:  05 August 2019

Tristan Bepler
Affiliation:
Computational and Systems Biology, MIT, Cambridge, MA, USA. Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA.
Andrew Morin
Affiliation:
Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA. Department of Mathematics, MIT, Cambridge, MA, USA.
Micah Rapp
Affiliation:
Department of Biochemistry and Molecular Biophysics, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, NY, NY, USA.
Julia Brasch
Affiliation:
Department of Biochemistry and Molecular Biophysics, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, NY, NY, USA.
Lawrence Shapiro
Affiliation:
Department of Biochemistry and Molecular Biophysics, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, NY, NY, USA.
Alex J Noble*
Affiliation:
National Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, NY, NY, USA.
Bonnie Berger*
Affiliation:
Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA. Department of Mathematics, MIT, Cambridge, MA, USA.
*
*Corresponding author for cryoEM: anoble@nysbc.org
**Corresponding author: bab@mit.edu

Abstract

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Type
Advances in Cryo-EM Technology
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Bepler, T et al. , arXiv (2018).Google Scholar
[2]Bepler, T, Noble, AJ, and Berger, B, Topaz and a standalone GUI, https://github.com/tbepler/topazGoogle Scholar
[3]Brasch, J et al. , Nature (2019).Google Scholar
[4]Wagner, T et al. , bioRxiv (2018).Google Scholar