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Proceedings Paper

Quantitatively differentiating microstructural variations of skeletal muscle tissues by multispectral Mueller matrix imaging
Author(s): Yang Dong; Honghui He; Chao He; Hui Ma
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Paper Abstract

Polarized light is sensitive to the microstructures of biological tissues and can be used to detect physiological changes. Meanwhile, spectral features of the scattered light can also provide abundant microstructural information of tissues. In this paper, we take the backscattering polarization Mueller matrix images of bovine skeletal muscle tissues during the 24-hour experimental time, and analyze their multispectral behavior using quantitative Mueller matrix parameters. In the processes of rigor mortis and proteolysis of muscle samples, multispectral frequency distribution histograms (FDHs) of the Mueller matrix elements can reveal rich qualitative structural information. In addition, we analyze the temporal variations of the sample using the multispectral Mueller matrix transformation (MMT) parameters. The experimental results indicate that the different stages of rigor mortis and proteolysis for bovine skeletal muscle samples can be judged by these MMT parameters. The results presented in this work show that combining with the multispectral technique, the FDHs and MMT parameters can characterize the microstructural variation features of skeletal muscle tissues. The techniques have the potential to be used as tools for quantitative assessment of meat qualities in food industry.

Paper Details

Date Published: 31 October 2016
PDF: 6 pages
Proc. SPIE 10024, Optics in Health Care and Biomedical Optics VII, 100241J (31 October 2016); doi: 10.1117/12.2245706
Show Author Affiliations
Yang Dong, Tsinghua Univ. (China)
Honghui He, Tsinghua Univ. (China)
Chao He, Tsinghua Univ. (China)
Hui Ma, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 10024:
Optics in Health Care and Biomedical Optics VII
Qingming Luo; Xingde Li; Ying Gu; Yuguo Tang, Editor(s)

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