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Towards Automated Classification of Complex 4D-STEM Datasets

Published online by Cambridge University Press:  30 July 2020

Benjamin Savitzky
Affiliation:
National Center for Electron Microscopy (NCEM), Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California, United States
Steven Zeltmann
Affiliation:
University of California - Berkeley, Berkeley, California, United States
Lauren Hughes
Affiliation:
National Center for Electron Microscopy (NCEM), Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California, United States
Kyle Seelman
Affiliation:
National Center for Electron Microscopy (NCEM), Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California, United States
Matthew Janish
Affiliation:
National Center for Electron Microscopy (NCEM), Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California, United States
Matthew Schneider
Affiliation:
Los Alamos National Laboratory, Los Alamos, New Mexico, United States
Chirranjeevi Gopal
Affiliation:
Toyota Research Institute, Los Altos, California, United States
Patrick Herring
Affiliation:
Toyota Research Institute, Los Altos, California, United States
Andrew Minor
Affiliation:
National Center for Electron Microscopy (NCEM), Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California, United States University of California - Berkeley, Berkeley, California, United States
Colin Ophus
Affiliation:
Lawrence Berkeley National Lab, Berkeley, California, United States

Abstract

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Type
Four-dimensional Scanning Transmission Electron Microscopy (4D-STEM): New Experiments and Data Analyses for Determining Materials Functionality and Biological Structures
Copyright
Copyright © Microscopy Society of America 2020

References

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https://github.com/py4dstem/py4DSTEM, DOI: 10.5281/zenodo.333396010.5281/zenodo.3333960CrossRefGoogle Scholar