High-speed vibrational microscopy and deep-learning algorithms to image cells and tissues

Dario Polli; Federico Vernuccio; Alejandro De la Cadena; Arianna Bresci; Chiara Ceconello; Francesco Manetti; Salvatore Sorrentino; Subir Das; Renzo Vanna; Giulio Cerullo

doi:10.1117/12.2648736

17 March 2023 High-speed vibrational microscopy and deep-learning algorithms to image cells and tissues

Dario Polli, Federico Vernuccio, Alejandro De la Cadena, Arianna Bresci, Chiara Ceconello, Francesco Manetti, Salvatore Sorrentino, Subir Das, Renzo Vanna, Giulio Cerullo

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Proceedings Volume PC12406, Real-time Measurements, Rogue Phenomena, and Single-Shot Applications VIII; PC1240608 (2023) https://doi.org/10.1117/12.2648736
Event: SPIE LASE, 2023, San Francisco, California, United States

Abstract

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.

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Dario Polli, Federico Vernuccio, Alejandro De la Cadena, Arianna Bresci, Chiara Ceconello, Francesco Manetti, Salvatore Sorrentino, Subir Das, Renzo Vanna, and Giulio Cerullo "High-speed vibrational microscopy and deep-learning algorithms to image cells and tissues", Proc. SPIE PC12406, Real-time Measurements, Rogue Phenomena, and Single-Shot Applications VIII, PC1240608 (17 March 2023); https://doi.org/10.1117/12.2648736

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KEYWORDS

Microscopy

Evolutionary algorithms

Tissues

Artificial intelligence

Chromium

Molecules

Raman scattering

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