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Image denoising based on Singular-Spectrum-Analysis (SSA) in femtosecond stimulated Raman scattering microscopy

Year: 2024

Type: article

Abstract: \nStimulated 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.\n

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/epjconf/202430909004/pdf

Authors: Giovanni Costa, Rajeev Ranjan, Maria Antonietta Ferrara, Mario Sansone, Luigi Sirleto

Institutions: Eindhoven University of Technology, Centre National de la Recherche Scientifique, Aix-Marseille Université, Institut Fresnel, Centrale Méditerranée, Institute of Applied Science and Intelligent Systems, National Research Council, University of Naples Federico II

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6921836038

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