Hostname: page-component-77c89778f8-fv566 Total loading time: 0 Render date: 2024-07-18T21:31:48.565Z Has data issue: false hasContentIssue false

Segmentation of “Important” Features in in High Dimensional Nanodiffraction Datasets

Published online by Cambridge University Press:  22 July 2022

Carter Francis
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wi, US
Paul Voyles*
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wi, US
*
*Corresponding author: paul.voyles@wisc.edu

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Developments of 4D-STEM Imaging - Enabling New Materials Applications
Copyright
Copyright © Microscopy Society of America 2022

References

Im, S. et al. , Ultramicroscopy 195 (2018), p. 189193.10.1016/j.ultramic.2018.09.005CrossRefGoogle Scholar
Krajnak, M. and Etheridge, J. Proceedings of the National Academy of Sciences of the United States of America 117 (2020), p. 278052781010.1073/pnas.2006975117CrossRefGoogle Scholar
Huang, S. et al. Ultramicroscopy 232 (2022) 11340510.1016/j.ultramic.2021.113405CrossRefGoogle Scholar
Voyles, P.M. and Muller, D.A., Ultramicroscopy 93 (2002), p. 147159.10.1016/S0304-3991(02)00155-9CrossRefGoogle Scholar
Johnstone, D. N. et al. Journal of Applied Crystallography. 53 (2020), p.12931298.10.1107/S1600576720011103CrossRefGoogle Scholar
Savitzky, B. H., et al. Microscopy and Microanalysis, 27 (2021) p.712743.10.1017/S1431927621000477CrossRefGoogle Scholar
Kong, H., Akakin, H. C., & Sarma, S. E. IEEE Transactions on Cybernetics, 43(6), (2013) p. 17191733.10.1109/TSMCB.2012.2228639CrossRefGoogle Scholar
This research was supported by the Wisconsin Materials Research Science and Engineering Center (DMR-1720415).Google Scholar