Effect of non-resonant background on the extraction of Raman signals from CARS spectra using deep neural networks
Sign Up to like & getrecommendations! Published in 2022 at "RSC Advances"
DOI: 10.1039/d2ra03983d
Abstract: We report the retrieval of the Raman signal from coherent anti-Stokes Raman scattering (CARS) spectra using a convolutional neural network (CNN) model. Three different types of non-resonant backgrounds (NRBs) were explored to simulate the CARS… read more here.
Keywords: non resonant; spectra using; cars spectra; extraction ... See more keywords
Evaluating different deep learning models for efficient extraction of Raman signals from CARS spectra
Sign Up to like & getrecommendations! Published in 2023 at "Physical Chemistry Chemical Physics"
DOI: 10.1039/d3cp01618h
Abstract: The nonresonant background (NRB) contribution to the coherent anti-Stokes Raman scattering (CARS) signal distorts the spectral line shapes and thus degrades the chemical information. Hence, finding an effective approach for removing NRB and extracting resonant… read more here.
Keywords: neural network; different deep; cars spectra; lstm model ... See more keywords