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Using py4DSTEM in GMS: Hybrid Open-Source, Commercial-Freeware Methods for Analyzing 4D STEM Datasets

Published online by Cambridge University Press:  30 July 2021

Benjamin Miller ,
Anahita Pakzad ,
Benjamin Savitzky ,
Colin Ophus  and
Cory Czarnik
Benjamin Miller
Affiliation:
Gatan Inc., California, United States
Anahita Pakzad
Affiliation:
Gatan Inc., United States
Benjamin Savitzky
Affiliation:
Lawrence Berkeley National Laboratory, California, United States
Colin Ophus
Affiliation:
Lawrence Berkeley National Laboratory, California, United States
Cory Czarnik
Affiliation:
Gatan Inc., United States

Abstract

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Type
Data Management, Version Control, and Multiformat Analysis in Electron Microscopy
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 1352 - 1354
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Savitzky, B. H., Hughes, L. A., Zeltmann, S. E., Brown, H. G., Zhao, S., Pelz, P. M., Barnard, E. S., Donohue, J., DaCosta, L. R., Pekin, T. C., Kennedy, E., Janish, M. T., Schneider, M. M., Herring, P., Gopal, C., Anapolsky, A., Ercius, P., Scott, M., Ciston, J., Minor, A. M. & Ophus, C. (2020). py4DSTEM: a software package for multimodal analysis of four-dimensional scanning transmission electron microscopy datasets. arXiv:2003.09523 [cond-mat, physics:physics]. http://arxiv.org/abs/2003.09523Google Scholar