Cargando…
Effect of non-resonant background on the extraction of Raman signals from CARS spectra using deep neural networks
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 spectra viz (1) product of two sigmoids following the or...
Autores principales: | Junjuri, Rajendhar, Saghi, Ali, Lensu, Lasse, Vartiainen, Erik M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549484/ https://www.ncbi.nlm.nih.gov/pubmed/36320545 http://dx.doi.org/10.1039/d2ra03983d |
Ejemplares similares
-
Deeply-recursive convolutional neural network for Raman spectra identification
por: Zhou, Wei, et al.
Publicado: (2022) -
RamanNet: a lightweight convolutional neural network for bacterial identification based on Raman spectra
por: Zhou, Bo, et al.
Publicado: (2022) -
Interpreting infrared, Raman, and nuclear magnetic resonance spectra
por: Nyquist, Richard Allen
Publicado: (2001) -
Improving the IR spectra alignment algorithm with spectra deconvolution and combination with Raman or VCD spectroscopy
por: Böselt, Lennard, et al.
Publicado: (2022) -
Analytic calculations of anharmonic infrared and Raman vibrational spectra
por: Cornaton, Yann, et al.
Publicado: (2016)