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Proceedings Paper

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

Mueller matrix polarimetry is a powerful tool for detecting microscopic structures, therefore can be used to monitor physiological changes of tissue samples. Meanwhile, spectral features of scattered light can also provide abundant microstructural information of tissues. In this paper, we take the 2D multispectral backscattering Mueller matrix images of bovine skeletal muscle tissues, and analyze their temporal variation behavior using multispectral Mueller matrix parameters. The 2D images of the Mueller matrix elements are reduced to the multispectral frequency distribution histograms (mFDHs) to reveal the dominant structural features of the muscle samples more clearly. For quantitative analysis, the multispectral Mueller matrix transformation (MMT) parameters are calculated to characterize the microstructural variations during the rigor mortis and proteolysis processes of the skeletal muscle tissue samples. The experimental results indicate that the multispectral MMT parameters can be used to judge different physiological stages for bovine skeletal muscle tissues in 24 hours, and combining with the multispectral technique, the Mueller matrix polarimetry and FDH analysis can monitor the microstructural variation features of skeletal muscle samples. The techniques may be used for quick assessment and quantitative monitoring of meat qualities in food industry.

Paper Details

Date Published: 17 February 2017
PDF: 6 pages
Proc. SPIE 10059, Optical Tomography and Spectroscopy of Tissue XII, 100590E (17 February 2017); doi: 10.1117/12.2251326
Show Author Affiliations
Yang Dong, Graduate School at Shenzhen, Tsinghua Univ. (China)
Tsinghua Univ. (China)
Honghui He, Graduate School at Shenzhen, Tsinghua Univ. (China)
Chao He, Graduate School at Shenzhen, Tsinghua Univ. (China)
Tsinghua Univ. (China)
Hui Ma, Graduate School at Shenzhen, Tsinghua Univ. (China)
Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 10059:
Optical Tomography and Spectroscopy of Tissue XII
Bruce J. Tromberg; Arjun G. Yodh; Eva Marie Sevick-Muraca; Robert R. Alfano, Editor(s)

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