Presentation + Paper
5 March 2021 Real-time structured polarized light imaging of dynamics of thick collagenous tissues
Grace Ingram, Po-Yi Lee, Benjamin Bernarding, Ian A. Sigal, Bin Yang
Author Affiliations +
Abstract
Collagen is the most abundant protein and the main load-bearing material in the human body. Collagen architecture and behavior under load are important for understanding their functions in healthy tissues and the pathophysiology of diseased tissues. Structured polarized light imaging (SPLI) has proved to be an effective method to quantify collagen properties of thick collagenous tissues. Compared to without using structured illumination, SPLI provides improved accuracy in quantification and enhanced contrast for visualization of collagen structures by suppressing highly scattered light from the deeper tissue. However, current SPLI requires multiples images, typically 12, which is a challenge for imaging tissue dynamics where acquisition time is highly constrained. In this study, we developed real-time SPLI to address this challenge. The real-time imaging capability was achieved with a polarization-sensitive camera, capable of acquiring images at four polarization states simultaneously at 75 frames/second. Using a rolling image processing technique, we achieved the same frame rate for visualizing tissue dynamics. The performance of real-time SPLI was validated by imaging a rotating chicken tendon. Additionally, we integrated real-time SPLI with a tissue tester and demonstrated that pig scleral tissue, under uniaxial stretching, exhibited nonlinear and region-dependent deformation.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Grace Ingram, Po-Yi Lee, Benjamin Bernarding, Ian A. Sigal, and Bin Yang "Real-time structured polarized light imaging of dynamics of thick collagenous tissues", Proc. SPIE 11698, Emerging Digital Micromirror Device Based Systems and Applications XIII, 116980A (5 March 2021); https://doi.org/10.1117/12.2577833
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KEYWORDS
Tissues

Collagen

Real time imaging

Visualization

Natural surfaces

Optical tracking

Pathophysiology

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