https://doi.org/10.1051/epjconf/202430909004
Image denoising based on Singular-Spectrum-Analysis (SSA) in femtosecond stimulated Raman scattering microscopy
1 National Research Council (CNR), Institute of Applied Sciences and Intelligent Systems Napoli, Italy
2 Department of Electrical Engineering, Eindhoven University of Technology (TU/e)
3 CNRS, Centrale Marseille, Institut Fresnel, Aix Marseille Univ, F-13013 Marseille, France
4 Department of Electrical Engineering and Information Technologies (DIETI), University of Naples, Italy
* e-mail: luigi.sirleto@cnr.it
Published online: 31 October 2024
Stimulated Raman scattering (SRS) microscopy is able to perform high sensitivity biological imaging with high spatial and spectral resolution and image acquisition time of a few seconds. Nevertheless, SRS images often suffer from low SNR, due to the weak Raman cross-section of biomolecules. Therefore, methods aiming to improve image quality are mandatory. In this paper, the performances of a 2D denoising algorithm based on SSA is analysed. SRS imaging of lipids droplets have been used in order to validate our algorithms.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
