Image denoising based on two widespread algorithms in femtosecond stimulated Raman scattering microscopy

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 two widespread general algorithms, i.e. averaging and Karhunen-Loeve Transform (KLT) are compared. SRS imaging of lipids droplets have been used in order to validate our algorithms.