Technologies for three-dimensional spectroscopic imaging of tissue properties

A method for indicating at least one property of a tissue sample performed by an imaging device, the imaging device comprising a memory, a light emitting projector, a camera, and a processor, the method comprising:

• projecting, via the projector, light on the tissue sample;
• controlling, via the processor, a capture of hyperspectral fluorescence image data of the tissue sample, the hyperspectral fluorescence image data corresponding at least to a first location in the tissue sample;
• controlling, via the processor, a capture of spatial frequency domain imaging (SFDI) image data of the tissue sample, the SFDI image data corresponding at least to the first location in the tissue sample, wherein the hyperspectral fluorescence image data and the SFDI image data correspond to a substantial entirety of the tissue sample;
• processing, via the processor, a first computational overlap of the hyperspectral fluorescence image data and the SFDI image data, the first computational overlap comprising at least the first location in the tissue sample;
• determining, via the processor, one or more properties of at least the first location of the tissue sample based, at least in part, on the first computational overlap of the hyperspectral fluorescence image data and the SFDI image data, wherein determining the one or more properties comprises fitting SFDI-derived optical absorption and reduced scattering maps, derived from the SFDI image data, to a two-layer Monte Carlo look-up table modeling a first layer containing melanin without blood and a second layer containing blood without melanin;
• segmenting, via the processor, the tissue sample into one or more zones based on the hyperspectral fluorescence image data and the SFDI image data;
• and
• generating, via the processor, at least one of:
• a two-dimensional (2D), or a three-dimension (3D), spatial visual representation comprising at least the first location of the tissue sample based, at least in part, on the first computational overlap of the hyperspectral fluorescence image data and the SFDI image data.