Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-24T20:49:10.279Z Has data issue: false hasContentIssue false

Machine Learning Approaches for Analysis of Multiscale Imaging Data for Atmospheric and Soil Particles

Published online by Cambridge University Press:  05 August 2019

Swarup China*
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
Sean Colby
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
Anil Krishna Battu
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
Tamas Varga
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
*
*Corresponding author: [email protected]

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Després, et al. , Tellus B 64 (2012).Google Scholar
[2]China, et al. , Environmental Science & Technology 50 (22) (2016), p. 12179.Google Scholar
[3]Wang, et al. , Nature Geoscience 9 (6) (2016), p. 433.Google Scholar
[4]Fröhlich-Nowoisky, et al. , Proceedings of the National Academy of Sciences 106 (31) (2009), p. 12814.Google Scholar