Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-06-10T02:03:31.135Z Has data issue: false hasContentIssue false
  • English
  • Français

Improvement of Principal Component Analysis for Quantification of Spectrum-Imaging Datasets

Published online by Cambridge University Press:  01 August 2018

M. Watanabe ,
A. Ishizuka  and
K. Ishizuka
M. Watanabe
Affiliation:
Dept of Materials Science and Engineering, Lehigh University, Bethlehem, PA, USA
A. Ishizuka
Affiliation:
HREM Research Inc., Higashimatsuyama, Saitama, Japan
K. Ishizuka
Affiliation:
HREM Research Inc., Higashimatsuyama, Saitama, Japan

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
Abstract
Information
Microscopy and Microanalysis , Volume 24 , Supplement S1: Proceedings of Microscopy & Microanalysis 2018 , August 2018 , pp. 576 - 577
Copyright
© Microscopy Society of America 2018 

References

[1] Jolliffe, I. T. Principal Component Analysis, 2nd ed. Springer New York 2002.Google Scholar
[2] Malinowski, E. R. Factor Analysis in Chemistry, 3rd ed. Wiley New York 2002.Google Scholar
[3] Watanabe, M., et al, Microscopy and Analysis 23 2009) p. 5.Google Scholar
[4] Lichtert, S. Verbeeck, J. Ultramicrosc. 125 2013) p. 35.Google Scholar
[5] The author (MW) wishes to acknowledge financial support from the NSF through grants DMR-0804528 and DMR-1040229.Google Scholar