Deciphering tip-enhanced Raman imaging of carbon nanotubes with deep learning neural networks
Author:
Affiliation:
1. The University of Western Ontario (Western University)
2. Department of Chemistry
3. London
4. Canada
Abstract
Deep learning neural networks enable faster and more accurate nanoscale visualization of carbon nanotubes imaged by tip-enhanced Raman spectroscopy.
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Royal Society of Chemistry (RSC)
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://pubs.rsc.org/en/content/articlepdf/2020/CP/D0CP02950E
Reference40 articles.
1. Tip-enhanced Raman spectroscopy of carbon nanotubes
2. Understanding tip-enhanced Raman spectra of biological molecules: a combined Raman, SERS and TERS study
3. Tip-enhanced Raman Spectroscopy – Its status, challenges and future directions
4. Principal component analysis based methodology to distinguish protein SERS spectra
5. High-resolution Raman imaging of bundles of single-walled carbon nanotubes by tip-enhanced Raman spectroscopy
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