An imaging system, comprising: one or more light sources (101,104,118,120) configured to illuminate a tissue region; one or more image acquisition devices configured to receive light reflected from the tissue region; one or more controllers configured to control the one or more light sources and the one or more image acquisition devices to acquire a plurality of images corresponding to different times and a plurality of images corresponding to different frequency bands; and a processor configured to: classify areas of the tissue region according to different physiologic classes based at least in part on multispectral data of the plurality of images corresponding to different frequency bands and photoplethysmography data of the plurality of images corresponding to different times, and generate a classified image of the tissue region based at least in part on both the multispectral data and the photoplethysmography data, the classified image having pixels sorted into the different physiologic classes and showing the different physiologic classes with different representations, wherein the processor is configured to create categories for the classification based on groupings of pixels and their characteristics relative to each other. one or more light sources (101,104,118,120) configured to illuminate a tissue region; one or more image acquisition devices configured to receive light reflected from the tissue region; one or more controllers configured to control the one or more light sources and the one or more image acquisition devices to acquire a plurality of images corresponding to different times and a plurality of images corresponding to different frequency bands; and a processor configured to: classify areas of the tissue region according to different physiologic classes based at least in part on multispectral data of the plurality of images corresponding to different frequency bands and photoplethysmography data of the plurality of images corresponding to different times, and generate a classified image of the tissue region based at least in part on both the multispectral data and the photoplethysmography data, the classified image having pixels sorted into the different physiologic classes and showing the different physiologic classes with different representations, wherein the processor is configured to create categories for the classification based on groupings of pixels and their characteristics relative to each other. classify areas of the tissue region according to different physiologic classes based at least in part on multispectral data of the plurality of images corresponding to different frequency bands and photoplethysmography data of the plurality of images corresponding to different times, and generate a classified image of the tissue region based at least in part on both the multispectral data and the photoplethysmography data, the classified image having pixels sorted into the different physiologic classes and showing the different physiologic classes with different representations, wherein the processor is configured to create categories for the classification based on groupings of pixels and their characteristics relative to each other.