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.

引用

页数：4

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