Myeong Jin Ju

The use of high numerical aperture (NA) objective lenses in optical coherence microscopy (OCM), while offering high lateral resolution, inherently limits the depth of focus (DOF) within the sample. While computational methods can extend the DOF, they typically require high spatial-phase stability, which limits their applicability to point-scanning OCM systems due to phase distortions from mechanical scanning.

The results of depth-resolved multi-contrast in vivo mouse choroidal imaging using a polarization-diversity optical coherence tomography (PD-OCT) system are presented. A selectively chosen depth of focus that was fine-tuned with a sensorless adaptive optics technique and a simple segmentation based on the degree of polarization uniformity signal visualizes the detailed features of a mouse choroid from the OCT angiography images.

Abstract A fast and practical computational cross-calibration of multiple spectrometers is described. A signal correlation matrix (CM) can be constructed from paired B-scans in a multiple-spectrometer optical coherence tomography (OCT), where the wavelength-corresponding pixels are indicated by high cross correlation. The CM can be used to either guide the physical alignment of spectrometers or to numerically match the spectra in the post-process.