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

被引：0
|
作者：
Costa, Giovanni [1 ,2 ]
Ranjan, Rajeev [1 ,3 ]
Ferrara, Maria Antonietta [1 ]
Sansone, Mario [4 ]
Sirleto, Luigi [1 ]
机构：
[1] Natl Res Council CNR, Inst Appl Sci & Intelligent Syst, Naples, Italy
[2] Eindhoven Univ Technol TU E, Dept Elect Engn, Eindhoven, Netherlands
[3] Aix Marseille Univ, Inst Fresnel, Cent Marseille, CNRS, F-13013 Marseille, France
[4] Univ Naples Federico II, Dept Elect Engn & Informat Technol DIETI, Naples, Italy
来源：
2024 24TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS, ICTON 2024 | 2024年
关键词：
nonlinear microscopy; label-free imaging; stimulated Raman scattering; noise; image denoising;
D O I：
10.1109/ICTON62926.2024.10648127
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：4
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