Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > EQEC > 2021 > jsiv_5 > jsiv_5_3
  • 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference
  • OSA Technical Digest (Optica Publishing Group, 2021),
  • paper jsiv_5_3

Removing Non-Resonant Background from CARS spectra via Deep Learning

Carlo M. Valensise, Alessandro Giuseppi, Federico Vernuccio, Alejandro De la Cadena, Giulio Cerullo, and Dario Polli

Not Accessible

Your library or personal account may give you access

Abstract

We present a novel approach to remove the spurious non-resonant background from broadband coherent anti-Stokes Raman scattering spectra in real time based on deep learning, without requiring the measurement of reference spectra.

© 2021 IEEE

PDF Article
More Like This
Deep-Learning CARS: Real-Time Removal of the Non-Resonant Background

Carlo M. Valensise, Alessandro Giuseppi, Federico Vernuccio, Alejandro De la Cadena, Giulio Cerullo, and Dario Polli
Tu3A.7 International Conference on Ultrafast Phenomena (UP) 2020

Ultrabroadband Coherent Anti-Stokes Raman Scattering Microscopy For Biological Applications Via Supercontinuum Generation in Bulk Crystals

Federico Vernuccio, Chiara Ceconello, Arianna Bresci, Francesco Manetti, Salvatore Sorrentino, Renzo Vanna, Giulio Cerullo, and Dario Polli
cd_13_2 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2023

Completely background free broadband coherent anti-Stokes Raman scattering spectroscopy

Xing Liu, Hanben Niu, Wei Liu, Danni Chen, Binbin Zhou, and Morten Bache
CL_5_3 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2013

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use