It has been demonstrated that Mueller matrix imaging is capable of extracting the microstructures and optical properties of the tissue. We try to explain how different clearing agent affects the microstructure of the tissues during the optical clearing process using Mueller matrix analysis. We employ two type agents and record how the Mueller matrix elements vary with the immersion time, and then we compare the dynamic polarization information with the Monte Carlo simulations focusing on different possible clearing mechanisms. By analyzing the connection between Mueller matrix elements and the microstructural variation and optical features of tissues, we try to explain the microscopic phenomena induced by different agents. Then we simulated several possible cases of microstructural changes caused by tissue lesions, and then observe the influence of different agent on polarization imaging contrast by the simulation process of the possible clearing mechanisms. These research works not only confirm that Mueller matrix imaging combined with Monte Carlo simulation is potentially a powerful tool for monitoring and understanding tissue optical clearing, but also show how tissue clearing agents can improve the polarization identification and what type tissue can be improved clearer.
Yu Huang, Nan Zeng, Qiaolin Xie, Valery V. Tuchin, and Hui Ma, "The microstructural variation during tissue optical clearing by Mueller matrix polarimetry," Proc. SPIE 10493, Dynamics and Fluctuations in Biomedical Photonics XV, 104930X (Presented at SPIE BiOS: January 30, 2018; Published: 13 February 2018); https://doi.org/10.1117/12.2287050.
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