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Identifying Spatial Relationships in Metal-nanoparticle/Insulating-aerogel Catalytic Systems with Electron Tomography: Manual Segmentation vs. Machine-learning Classifiers

Published online by Cambridge University Press:  30 July 2020

Todd Brintlinger
Affiliation:
U.S. Naval Research Laboratory, Washington, District of Columbia, United States
Ashley Pennington
Affiliation:
National Research Council, Washington, District of Columbia, United States
Catherine Pitman
Affiliation:
National Research Council, Washington, District of Columbia, United States
Paul DeSario
Affiliation:
U.S. Naval Research Laboratory, Washington, District of Columbia, United States
Rhonda Stroud
Affiliation:
U.S. Naval Research Laboratory, Washington, District of Columbia, United States
Debra Rolison
Affiliation:
U.S. Naval Research Laboratory, Washington, District of Columbia, United States
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Abstract

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Type
FIB-SEM Technology and Electron Tomography for Materials Science and Engineering
Copyright
Copyright © Microscopy Society of America 2020

References

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Brintlinger, T; DeSario, P.A.; Pietron, J.J.; Szymczak, L.C.; Stroud, R.M.; and Rolison, D.R. Microsc. Microanal. 2018, 19 (Supp 2), p. 1714.Google Scholar
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Identifying Spatial Relationships in Metal-nanoparticle/Insulating-aerogel Catalytic Systems with Electron Tomography: Manual Segmentation vs. Machine-learning Classifiers
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