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13 March 2024 Characterizing intracellular activities of dynamic optical coherence tomography: a mathematical modeling approach
Yuanke Feng, Shumpei Fujimura, Yiheng Lim, Thitiya Seesan, Rion Morishita, Ibrahim Abd El-Sadek, Pradipta Mukherjee, Yoshiaki Yasuno
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Proceedings Volume PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024; PC128540C (2024) https://doi.org/10.1117/12.3001296
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
This presentation aims at classifying, mathematically modeling, and numerically simulating the intratissue activities for better understanding the dynamic optical coherence tomography (D-OCT) imaging. The intracellular motilities are classified into six types, and each type of motility is modeled by mono-direction translation, random ballistic, diffusion motions and their combination. The intracellular scatterer dynamic and D-OCT signals including logarithmic intensity variance (LIV) and complex variance were numerically simulated. These D-OCT signals increase within the velocity range of 4.5 to 270 nm/s and become almost constant for larger velocities. In addition, it was found that the shorter wavelength gives higher LIV and complex variances.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yuanke Feng, Shumpei Fujimura, Yiheng Lim, Thitiya Seesan, Rion Morishita, Ibrahim Abd El-Sadek, Pradipta Mukherjee, and Yoshiaki Yasuno "Characterizing intracellular activities of dynamic optical coherence tomography: a mathematical modeling approach", Proc. SPIE PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024, PC128540C (13 March 2024); https://doi.org/10.1117/12.3001296
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KEYWORDS
Optical coherence tomography
Mathematical modeling
Computer simulations
Particles
Signal intensity
Diffusion
Light scattering
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