| Issue |
EPJ Web Conf.
Volume 309, 2024
EOS Annual Meeting (EOSAM 2024)
|
|
|---|---|---|
| Article Number | 09004 | |
| Number of page(s) | 2 | |
| Section | Topical Meeting (TOM) 9- Opto-Electronics, Nanotechnologies & Microsystem | |
| DOI | https://doi.org/10.1051/epjconf/202430909004 | |
| Published online | 31 October 2024 | |
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
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