Quantitatively differentiating microstructural variations of skeletal muscle tissues by multispectral Mueller matrix imaging

Yang Dong; Honghui He; Chao He; Hui Ma

doi:10.1117/12.2245706

31 October 2016 Quantitatively differentiating microstructural variations of skeletal muscle tissues by multispectral Mueller matrix imaging

Yang Dong, Honghui He, Chao He, Hui Ma

Author Affiliations +

Proceedings Volume 10024, Optics in Health Care and Biomedical Optics VII; 100241J (2016) https://doi.org/10.1117/12.2245706
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

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.

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Yang Dong, Honghui He, Chao He, and Hui Ma "Quantitatively differentiating microstructural variations of skeletal muscle tissues by multispectral Mueller matrix imaging", Proc. SPIE 10024, Optics in Health Care and Biomedical Optics VII, 100241J (31 October 2016); https://doi.org/10.1117/12.2245706

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