No CrossRef data available.
Article contents
Using py4DSTEM in GMS: Hybrid Open-Source, Commercial-Freeware Methods for Analyzing 4D STEM Datasets
Published online by Cambridge University Press: 30 July 2021
Abstract
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
![Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'](https://static.cambridge.org/content/id/urn%3Acambridge.org%3Aid%3Aarticle%3AS1431927621005043/resource/name/firstPage-S1431927621005043a.jpg)
- Type
- Data Management, Version Control, and Multiformat Analysis in Electron Microscopy
- Information
- 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