Characterizing intracellular activities of dynamic optical coherence tomography: a mathematical modeling approach

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.