A three-dimensional multi-contrast tissue dynamics imaging method based on polarization-sensitive optical coherence tomography is presented to visualize microvascular tissue activity of mouse livers. Temporal variance of birefringence, temporal polarization uniformity and logarithmic OCT intensity variance are used to access the tissue dynamics. These methods are applied to time-course microvasculature activity visualization of dissected normal and inflammatory mouse liver. Multi-contrast projection images are generated to visualize vascular network of the liver. Cross-sectional and en face dynamics images show high activity around the periportal region of mouse liver at initial time point. Degradation of tissue activity is demonstrated by time-lapse imaging.
A new method for quantitative assessment of tissue dynamics and activity is presented. The method is based on polarizationsensitive optical coherence tomography. Temporal variance of birefringence and temporal polarization uniformity are used to assess the tissue dynamics. These methods are applied to hourly time-course evaluation of tissue activity of ex-vivo dissected mouse heart.
We present a new OCT-based tissue dynamics/subcellular motion analysis method to visualize tissue dynamics, where we increase the functionality of OCT to be sensitive for tissue dynamics by utilizing rapid-time-sequence analysis of OCT signals. These analysis includes log intensity variance (LIV) and OCT time-correlation analysis (OCT decorrelation speed; OCDS). In addition to LIV and OCDS methods, attenuation coefficient (AC), birefringence, and degree of polarization uniformity (DOPU) analysis were performed. These methods used to visualize and quantify long-term tissue dynamics degradation of different tissue types such as dissected mouse liver and tumor spheroids. These methods were quantitative, so the time-course tissue dynamics degradation has been not only visualized as an image, but also quantitative analysis of the dynamics degradation were performed.
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