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Communication Dans Un Congrès Année : 2021

Segmentation integration in multivariate curve resolution applied to coherent anti-Stokes Raman scattering

Résumé

Coherent anti-Stokes Raman scattering (CARS) is a vibrational spectroscopy method based on a coherent χ (3) nonlinear interaction between light and matter through four-wave mixing. CARS process has been extensively used as a microscopy technique in biology. However the shape of CARS spectra is generally complex because of the combination of both resonant and non-resonant contributions, which limits the development of CARS microspectroscopy applications. In this context, phase retrieval methods (PRM) like the maximum entropy method (MEM) [1] are commonly used to extract the vibrationally resonant signal, corresponding to Im[χ (3) ], and thus to provide Raman-like spectra, which are more suitable for interpretation.
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Dates et versions

hal-03191353 , version 1 (04-04-2023)

Identifiants

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Damien Boildieu, David Helbert, Eric Champion, Amandine Magnaudeix, Philippe Leproux, et al.. Segmentation integration in multivariate curve resolution applied to coherent anti-Stokes Raman scattering. Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, Jun 2021, Munich, Germany. pp.jsiv_5_6, ⟨10.1109/CLEO/Europe-EQEC52157.2021.9541833⟩. ⟨hal-03191353⟩
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