4.6 Article

Fast denoising and lossless spectrum extraction in stimulated Raman scattering microscopy

Journal

JOURNAL OF BIOPHOTONICS
Volume 14, Issue 8, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/jbio.202100080

Keywords

in vivo imaging; Raman spectroscopy; signal‐ to‐ noise ratio enhancement; stimulated Raman scattering microscopy

Funding

  1. China Postdoctoral Science Foundation [2019M653000]
  2. National Natural Science Foundation of China [61620106016, 61835009, 61935012, 61961136005]
  3. Shenzhen Science and Technology Funding [JCYJ20180305124902165]

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This paper introduces a fast non-average denoising and high-precision Raman shift extraction method based on a self-reinforcing SNR enhancement algorithm for SRS spectroscopy and microscopy. The method shows high efficiency and precision in spectral denoising, Raman peak extraction, and image quality improvement compared to filtering methods and reported experimental methods.
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.

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