Image Denoising in Femtosecond Stimulated Raman Scattering Microscopy

Stimulated Raman scattering (SRS) microscopy is able to perform label-free imaging of lipids with high sensitivity, high spatial and spectral resolution, 3D sectioning, and fast time of image acquisition, i.e., a few seconds. Nevertheless, due to the weak Raman cross-section of biomolecules, SRS images often suffer from low SNR, so SRS applications in biological/biomedical imaging can be compromised. Therefore, methods aiming to improve image quality are required. In this paper, we compare the performances of two widespread general algorithms, i.e. Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT). In order to validate our algorithms, in our investigations lipids droplets (LDs) have been used.