Presentation
5 March 2021 Novel approaches to broadband coherent Raman imaging
Alejandro De la Cadena, Carlo Valensise, Federico Vernuccio, Dario Polli, Giulio N. Cerullo
Author Affiliations +
Abstract
We present innovative approaches to broadband coherent Raman scattering microscopy, both in the stimulated Raman scattering (SRS) and broadband coherent anti-Stokes Raman scattering (CARS) modalities. A convolutional neural network removes the unwanted non-resonant background from broadband CARS spectra. The deep-learning model processes experimental data in 100microseconds and correctly retrieves all the relevant vibrational peaks without any user intervention or independent background measurement. A multi-channel lock-in amplifier, in combination with in-line balanced detection and a broadband optical parametric oscillator, allows sensitive measurement of the SRS spectrum at 32 frequencies in parallel, with pixel dwell times as short as 40 microseconds.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alejandro De la Cadena, Carlo Valensise, Federico Vernuccio, Dario Polli, and Giulio N. Cerullo "Novel approaches to broadband coherent Raman imaging", Proc. SPIE 11656, Advanced Chemical Microscopy for Life Science and Translational Medicine 2021, 116560O (5 March 2021); https://doi.org/10.1117/12.2578587
Advertisement
Advertisement
KEYWORDS
Coherence imaging

Raman spectroscopy

Chromium

Data modeling

Process modeling

Raman scattering

Optical parametric oscillators

Back to Top