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Fast denoising and lossless spectrum extraction in stimulated Raman scattering microscopy
Author(s) -
Li Yanping,
Shen Binglin,
Zou Gengjin,
Wang Shiqi,
Qu Junle,
Hu Rui,
Liu Liwei
Publication year - 2021
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.202100080
Subject(s) - raman spectroscopy , microscopy , raman scattering , noise reduction , materials science , lossless compression , optics , signal to noise ratio (imaging) , noise (video) , signal (programming language) , sensitivity (control systems) , image quality , laser , microscope , artificial intelligence , computer science , physics , image (mathematics) , electronic engineering , data compression , programming language , engineering
Stimulated Raman scattering (SRS) microscopy is a nonlinear optical imaging method for visualizing chemical content based on molecular vibrational bonds. However, the imaging speed and sensitivity are currently limited by the noise of the light beam probing the Raman process. In this paper, we present a fast non‐average denoising and high‐precision Raman shift extraction method, based on a self‐reinforcing signal‐to‐noise ratio (SNR) enhancement algorithm, for SRS spectroscopy and microscopy. We compare the results of this method with the filtering methods and the reported experimental methods to demonstrate its high efficiency and high precision in spectral denoising, Raman peak extraction and image quality improvement. We demonstrate a maximum SNR enhancement of 10.3 dB in fixed tissue imaging and 11.9 dB in vivo imaging. This method reduces the cost and complexity of the SRS system and allows for high‐quality SRS imaging without use of special laser, complicated system design and Raman tags.