Abstract:
A method of generating an image or video of a field of interest of a sample which includes obtaining i) a first RGB image from a field of interest of a sample, and ii) hyperspectral data from a subarea of the field of interest, extracting an RGB image of the subarea from the first RGB image of the field of interest, applying the hyperspectral data of the subarea to conduct a spectroscopic analysis of a sample thereby generating spectral parameters, inputting i) the spectral parameters, and ii) the first RGB image, collectively as training input data to a deep learning model (DLM), training the DLM with the training input data thus generating a trained DLM, obtaining and inputting a second RGB image of about the field of interest to the trained DLM, and outputting from the trained DLM a spectral map for the field of interest.
Abstract:
An apparatus and method of mesoscopic imaging which provide improved contrast to changes in tumor microenvironments are disclosed. The apparatus includes a light which illuminates tissue in vivo, a spectrometer which varies at least one parameter of the light, and optics which transmit light backscattered from the tissue. The optics comprise any one of (i) a small aperture 4-focal length (4-f) lens system within an angular cone of 2°-5°, (ii) a telecentric lens, and (iii) an anti-scatter grid and a camera lens.