Spectral imaging systems and methods for histological assessment of wounds

A system for assessing or predicting wound status, the system comprising:

• at least one light detection element configured to collect light of at least a first wavelength after being reflected from a tissue region comprising a burn;
• and
• one or more processors in communication with the at least one light detection element and configured to:
• receive a signal from the at least one light detection element, the signal representing light of the first wavelength reflected from the tissue region;
• generate, based on the signal, an image having a plurality of pixels depicting the tissue region;
• determine, based on the signal, a reflectance intensity value at the first wavelength for each pixel of at least a subset of the plurality of pixels;
• determine, using at least one deep learning (DL) algorithm, a burn status corresponding to each pixel of the subset of pixels depicting the tissue region, wherein the burn status corresponds to necrosis of adnexal structures within at least a portion of the burn;
• and
• generate a classified image based at least in part on the image and the determined burn status corresponding to each pixel of the subset of pixels depicting the tissue region.