Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-27T08:02:07.139Z Has data issue: false hasContentIssue false
  • English
  • Français

Machine Learning Enabled Reproducible Data Analysis for Electron Microscopy

Published online by Cambridge University Press:  22 July 2022

Xiaoting Zhong ,
Nestor J. Zaluzec ,
Yu Lin  and
Jiadong Gong
Xiaoting Zhong
Affiliation:
Materials Science Department, Lawrence Livermore National Laboratory, Livermore, CA, USA
Nestor J. Zaluzec
Affiliation:
Photon Science Directorate, Argonne National Laboratory, Lemont, IL, USA
Yu Lin*
Affiliation:
QuesTek Innovations LLC, Evanston, IL, USA
Jiadong Gong
Affiliation:
QuesTek Innovations LLC, Evanston, IL, USA
*
*Corresponding author: [email protected]

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.'
Type
On Demand - Artificial Intelligence, Instrument Automation, and High-Dimensional Data Analytics for Microscopy and Microanalysis
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 3138 - 3140
Check for updates
Copyright
Copyright © Microscopy Society of America 2022

References

Ren, S., He, K., Girshick, R., and Sun, J., Advances in neural information processing systems 28, (2015).Google Scholar
He, K., Gkioxari, G., Dollár, P., and Girshick, R., In Proceedings of the IEEE international conference on computer vision (2017), p. 2961-2969.Google Scholar
Cohn, R., et al. , JOM 73(7), (2021), p. 2159-2172.10.1007/s11837-021-04713-yCrossRefGoogle Scholar
Detectron2, https://github.com/facebookresearch/detectron2 (assessed October 03, 2021).Google Scholar
Lin, T. Y., et al. , In European conference on computer vision (2014), p. 740-755.Google Scholar
LabelImg with KITTI BEV Rotation, https://github.com/zexihan/labelImg-kitti (assessed August 06, 2021).Google Scholar
This work is supported by the Office of Science of the US Department of Energy under STTR award DE-SC0021563; as well as the Photon Science Directorate at Argonne National Laboratory, by the Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357. This work was also performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 and was supported by the LLNL-LDRD Program under Project No. 19-SI-001.Google Scholar