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py4DSTEM: Open Source Software for 4D-STEM Data Analysis

Published online by Cambridge University Press:  05 August 2019


Benjamin H. Savitzky
Affiliation:
National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Lauren Hughes
Affiliation:
National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Karen C. Bustillo
Affiliation:
National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Haitao D. Deng
Affiliation:
Department of Materials Science & Engineering, Stanford University, Stanford, CA, USA
Norman L. Jin
Affiliation:
Department of Materials Science & Engineering, Stanford University, Stanford, CA, USA
Eder G. Lomeli
Affiliation:
Department of Materials Science & Engineering, Stanford University, Stanford, CA, USA
William C. Chueh
Affiliation:
Department of Materials Science & Engineering, Stanford University, Stanford, CA, USA
Patrick Herring
Affiliation:
Toyota Research Institute, Los Altos, CA, USA
Andrew Minor
Affiliation:
National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Department of Materials Science & Engineering, University of California, Berkeley, CA, USA
Colin Ophus
Affiliation:
National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Corresponding
E-mail address:

Abstract

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Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Ophus, C., et al. , Microscopy and Microanalysis 20.S3 (2014), p. 62.CrossRefGoogle Scholar
[2]https://github.com/bsavitzky/py4DSTEM. All code available under the ‘copyleft’ GPL v3 license.Google Scholar
[3]de la Peña, Francisco, et al. , Microscopy and Microanalysis 23.S1 (2017), p. 214.CrossRefGoogle Scholar
[4]The authors gratefully acknowledge support from the Toyota Research Institute. Work at the Molecular Foundry was also supported by the Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.Google Scholar

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py4DSTEM: Open Source Software for 4D-STEM Data Analysis
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