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.