Coherent Raman scattering (CRS) microscopy is a powerful third-order nonlinear optical technique for label-free chemical identification of molecules based on their intrinsic vibrational spectrum. It can reach video-rate imaging speed and detect very dilute species. I will review the working principles and state of the art of this technique, presenting our recent results and perspectives. I will also show how artificial intelligence methods can be employed effectively to increase the signal-to-noise ratio and extract the relevant information from the large experimental hyperspectral datacubes.
We present several approaches to high-speed broadband stimulated Raman scattering (SRS) and broadband coherent anti-Stokes Raman scattering (CARS) spectroscopy and microscopy for label-free chemical identification of molecules through their intrinsic vibrational spectrum. (1) A 32-channels lock-in amplifier for parallel detection of broadband SRS spectra. (2) A broadband CARS microscope covering the entire fingerprint with down to 1-ms pixel dwell time, based on a low-repetition-rate amplified laser allowing white-light supercontinuum generation in bulk media. (3) Artificial-intelligence-based methods to enhance the signal-to-noise ratio and remove the non-resonant background signal from CARS spectra. (4) Video-rate wide-field CARS microscopy over the fingerprint region.
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