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A Novel Method for Automatic Determination of the Number of Meaningful Components in the PCA Analysis of Spectrum-Images

Published online by Cambridge University Press:  01 August 2018

Pavel Potapov ,
Paolo Longo  and
Axel Lubk
Pavel Potapov
Affiliation:
Leibniz Institute for Solid State and Materials Research (IFW), Dresden, Germany Technical University of Dresden, Department of Physics, Dresden, Germany
Paolo Longo
Affiliation:
Gatan Inc, Pleasanton, CA, USA
Axel Lubk
Affiliation:
Technical University of Dresden, Department of Physics, Dresden, Germany

Abstract

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 24 , Supplement S1: Proceedings of Microscopy & Microanalysis 2018 , August 2018 , pp. 572 - 573
Copyright
© Microscopy Society of America 2018 

References

[1] exemplary Watanabe, M., Okunishi, E. Ishizuka, K. Microsc. Anal. 23(7 2009) p. 5.Google Scholar
[2] exemplary Gavish, M. Donoho, D. L. IEEE Trans. Information Theory 60 2014) p. 5040.Google Scholar
[3] PP and AL designed the treatment algorithms and PL acquired the experimental spectrum-images.Google Scholar
[4] PP acknowledges funding from DFG “Zukunftskonzept” (F-003661-553-U6a-1020605).Google Scholar
[5] AL received funding ERC under the Horizon 2020 program (grant 715620).Google Scholar