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Compressive Hyperspectral Microscopy of Plasmonic Nanoparticles – Noise Characteristics and Performance Limits

Published online by Cambridge University Press:  22 July 2022

George Lewis
Affiliation:
Department of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK Department of Earth Sciences, University of Cambridge, Cambridge, UK
Anthony Giljum
Affiliation:
Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA
Paul Midgley
Affiliation:
Department of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK
Kevin Kelly
Affiliation:
Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA
Emilie Ringe*
Affiliation:
Department of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK Department of Earth Sciences, University of Cambridge, Cambridge, UK
*
*Corresponding author: [email protected]

Abstract

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Type
Artificial Intelligence, Instrument Automation, And High-dimensional Data Analytics for Microscopy and Microanalysis
Copyright
Copyright © Microscopy Society of America 2022

References

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We acknowledge support from the EPSRC NanoDTC Cambridge (EP/L015978/1).Google Scholar