Abstract: The present system employs optical coherence tomography (OCT) or optical coherence microscopy (OCM) systems, including ultra-high resolution Gabor-domain optical coherence microscopy (GD-OCM), into a 3D flow imaging technique. This technique models the repeated scans as Gaussian latent variables, with the common variance representing both static tissue structure and dynamic blood flow, and the anisotropic unique variance representing tissue motion in specific frames. Since the motion generated variance is independent from that of the structure or the flow, by iteratively maximizing the combined log-likelihood probability of these two variances modeled through exploratory factor analysis, the unique variance (or the tissue motion) may be largely excluded. In the common variance, the dynamic blood flow may be separated from the static tissue structure, by integrating the factors that represent the relatively low levels of correlation.

Abstract: A low-coherence interferometry imaging system for imaging translucent samples, wherein the system includes an optical coherence microscopy (OCM) mode and an optical coherence tomography (OCT) mode, and wherein the system can selectively employ either mode without requiring re-positioning of a sample under test. The system provides for the selective disposition of the OCM mode or the OCT mode in an optical path intermediate a scanning system and an imaging objective.

Abstract: The present system employs optical coherence tomography (OCT) or optical coherence microscopy (OCM) systems, including ultra-high resolution Gabor-domain optical coherence microscopy (GD-OCM), into a 3D flow imaging technique. This technique models the repeated scans as Gaussian latent variables, with the common variance representing both static tissue structure and dynamic blood flow, and the anisotropic unique variance representing tissue motion in specific frames. Since the motion generated variance is independent from that of the structure or the flow, by iteratively maximizing the combined log-likelihood probability of these two variances modeled through exploratory factor analysis, the unique variance (or the tissue motion) may be largely excluded. In the common variance, the dynamic blood flow may be separated from the static tissue structure, by integrating the factors that represent the relatively low levels of correlation.

Abstract: A system for non-contact imaging of corneal tissue stored in a viewing chamber using Gabor-domain optical coherence microscopy (GDOCM), wherein a 3D numerical flattening procedure is applied to the image data to produce an at least substantially artifact-free en face view of the endothelium.