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Proceedings Paper

Spectroscopic fingerprint stimulated Raman scattering imaging of living cells and large area tissues by ultrafast delay-line tuning and deep learning (Conference Presentation)
Author(s): Haonan Lin

Paper Abstract

Fingerprint stimulated Raman scattering (SRS) produces label-free chemical maps of molecules in living systems with higher specificity compared to CH vibration region. However, due to the weak signal levels in the fingerprint window, it remains challenging for fingerprint SRS to study highly dynamic or large-scale samples. Here, we push the design space of SRS using deep learning, which can recover the signal-to-noise ratio to the levels comparable to measurements with 100 times longer integration time. Combined with an ultrafast 50-kHz delay-line tuner, we can generate real-time images of cholesterol, fatty acid, and proteins of living cells and large-area tissues including the whole brain.

Paper Details

Date Published: 10 March 2020
Proc. SPIE 11252, Advanced Chemical Microscopy for Life Science and Translational Medicine, 1125215 (10 March 2020); doi: 10.1117/12.2543903
Show Author Affiliations
Haonan Lin, Boston Univ. (United States)

Published in SPIE Proceedings Vol. 11252:
Advanced Chemical Microscopy for Life Science and Translational Medicine
Ji-Xin Cheng; Wei Min; Garth J. Simpson, Editor(s)

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