Accurately differentiating inflamed and healthy tissue samples by removing errors and noises in depth-resolved polarization parameter images

IF 3.5 2区工程技术 Q2 OPTICS

Optics and Lasers in Engineering Pub Date : 2024-11-25 DOI:10.1016/j.optlaseng.2024.108717

Ran Li, Wanrong Gao

引用次数: 0

Abstract

The fiber-optics-based Mueller matrix polarization sensitive optical coherence tomography (PSOCT) can measure the complete depth-resolved Mueller matrices of biological samples and is a choice for practical clinical applications. To quantitatively interpret the measurement results, the system errors and the detection noise in a fiber-optics-based PSOCT are analyzed, simulated and eliminated. The depth-resolved polarization parameter images of the skin of inflamed and healthy mice are presented to demonstrate that the system has the capability of accurately differentiating between normal and diseased tissues. In addition, the values of the polarization parameters after removing the noise and their changes with depth may be helpful quantitative diagnosis of the diseases and the evaluation of the treatment.

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来源期刊

Optics and Lasers in Engineering 工程技术-光学

CiteScore

8.90

自引率

8.70%

发文量

384

审稿时长

42 days

期刊介绍： Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following: -Optical Metrology- Optical Methods for 3D visualization and virtual engineering- Optical Techniques for Microsystems- Imaging, Microscopy and Adaptive Optics- Computational Imaging- Laser methods in manufacturing- Integrated optical and photonic sensors- Optics and Photonics in Life Science- Hyperspectral and spectroscopic methods- Infrared and Terahertz techniques