Effect of non-resonant background on the extraction of Raman signals from CARS spectra using deep neural networks-Reference-Cited by-同舟云学术

Effect of non-resonant background on the extraction of Raman signals from CARS spectra using deep neural networks

Published:2022 Issue:44 Volume:12 Page:28755-28766
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Junjuri Rajendhar¹^ORCID,Saghi Ali¹,Lensu Lasse¹^ORCID,Vartiainen Erik M.¹^ORCID

Affiliation:

1. LUT School of Engineering Science, LUT University, Lappeenranta 53851, Finland

Abstract

Typical schematic of the CNN model architecture trained with CARS data generated from different non resonant backgrounds. The input is a CARS spectrum and the output is a Raman spectrum.

Funder

Academy of Finland

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/RA/D2RA03983D

Reference55 articles.

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