Full-field polarized light imaging provides the capability of investigating the alignment and density of birefringent tissue such as collagen abundantly found in scars, the cervix, and other sites of connective tissue. These can be indicators of disease and conditions affecting a patient. Two-dimensional polarized light Monte Carlo simulations which allow the input of an optical axis of a birefringent sample relative to a detector have been created and validated using optically anisotropic samples such as tendon yet, unlike tendon, most collagen-based tissues is significantly less directional and anisotropic. Most important is the incorporation of three-dimensional structures for polarized light to interact with in order to simulate more realistic biological environments. Here we describe the development of a new polarization sensitive Monte Carlo capable to handle birefringent materials with any spatial distribution. The new computational platform is based on tissue digitization and classification including tissue birefringence and principle axis of polarization. Validation of the system was conducted both numerically and experimentally.
Joseph Chue-Sang, Yuqiang Bai, and Jessica Ramella-Roman, "Polarized light in birefringent samples (Conference Presentation)," Proc. SPIE 9689, Photonic Therapeutics and Diagnostics XII, 96890A (Presented at SPIE BiOS: February 13, 2016; Published: 27 April 2016); https://doi.org/10.1117/12.2213335.4828028234001.
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