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Toward 10 meV Electron Energy-Loss Spectroscopy Resolution for Plasmonics

Published online by Cambridge University Press:  01 April 2014

Edson P. Bellido ,
David Rossouw  and
Gianluigi A. Botton
Edson P. Bellido
Affiliation:
Department of Materials Science and Engineering, McMaster University, 1280 Main Street W. Hamilton ON, Canada L8S 4L7
David Rossouw
Affiliation:
Department of Materials Science and Engineering, McMaster University, 1280 Main Street W. Hamilton ON, Canada L8S 4L7
Gianluigi A. Botton*
Affiliation:
Department of Materials Science and Engineering, McMaster University, 1280 Main Street W. Hamilton ON, Canada L8S 4L7
*
*Corresponding author.[email protected]
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Abstract

Energy resolution is one of the most important parameters in electron energy-loss spectroscopy. This is especially true for measurement of surface plasmon resonances, where high-energy resolution is crucial for resolving individual resonance peaks, in particular close to the zero-loss peak. In this work, we improve the energy resolution of electron energy-loss spectra of surface plasmon resonances, acquired with a monochromated beam in a scanning transmission electron microscope, by the use of the Richardson–Lucy deconvolution algorithm. We test the performance of the algorithm in a simulated spectrum and then apply it to experimental energy-loss spectra of a lithographically patterned silver nanorod. By reduction of the point spread function of the spectrum, we are able to identify low-energy surface plasmon peaks in spectra, more localized features, and higher contrast in surface plasmon energy-filtered maps. Thanks to the combination of a monochromated beam and the Richardson–Lucy algorithm, we improve the effective resolution down to 30 meV, and evidence of success up to 10 meV resolution for losses below 1 eV. We also propose, implement, and test two methods to limit the number of iterations in the algorithm. The first method is based on noise measurement and analysis, while in the second we monitor the change of slope in the deconvolved spectrum.

Keywords

Richardson–Lucy deconvolutionsurface plasmonsEELSSTEMplasmonicsenergy resolution
Type
EDGE Special Issue
Information
Microscopy and Microanalysis , Volume 20 , Issue 3 , June 2014 , pp. 767 - 778
Copyright
© Microscopy Society of America 2014 

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