Enhancing hyperspectral EELS analysis of complex plasmonic nanostructures with pan-sharpening

Nikolay Borodinov, Progna Banerjee, Shin Hum Cho, Delia J. Milliron, Olga S. Ovchinnikova, Rama K. Vasudevan, Jordan A. Hachtel

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Nanoscale hyperspectral techniques - such as electron energy loss spectroscopy (EELS) - are critical to understand the optical response in plasmonic nanostructures, but as systems become increasingly complex, the required sampling density and acquisition times become prohibitive for instrumental and specimen stability. As a result, there has been a recent push for new experimental methodologies that can provide comprehensive information about a complex system, while significantly reducing the duration of the experiment. Here, we present a pan-sharpening approach to hyperspectral EELS analysis, where we acquire two datasets from the same region (one with high spatial resolution and one with high spectral fidelity) and combine them to achieve a single dataset with the beneficial properties of both. This work outlines a straightforward, reproducible pathway to reduced experiment times and higher signal-to-noise ratios, while retaining the relevant physical parameters of the plasmonic response, and is generally applicable to a wide range of spectroscopy modalities.

Original languageEnglish
Article number014202
JournalJournal of Chemical Physics
Volume154
Issue number1
DOIs
StatePublished - Jan 7 2021

Funding

This research was conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility (N.B., O.S.O., R.K.V., and J.A.H.). Funding was provided, in part, by the National Science Foundation (Grant No. CHE-1905263), the Army Research Office (Grant No. W911NF-20-1-0195), the Fulbright Program (Grant No. IIE-15151071) (S.H.C.), and the Welch Foundation (Grant No. F-1848) (S.H.C., P.B., and D.J.M.). The work was performed, in part, using instrumentation within ORNL’s Materials Characterization Core provided by UT-Battelle, LLC, under Contract No. DE-AC05-00OR22725 with the DOE, and was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy.

FundersFunder number
National Science FoundationCHE-1905263
U.S. Department of Energy
Army Research OfficeW911NF-20-1-0195, IIE-15151071
Welch FoundationDE-AC05-00OR22725, F-1848
Oak Ridge National Laboratory

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