Abstract: A bloodless system for numerically generated hyperspectral imaging data for measuring biochemical compositions is disclosed which includes an optical imaging device adapted to acquire an RGB image from an area of interest, a processor adapted to receive a hyperspectral dataset representing an a priori hyperspectral data of the area of interest of a population to which the subject belongs, receive RGB response for each one of RGB channels of the optical imaging device, pair the corresponding RGB data with the hyperspectral data, obtain a transformation matrix adapted to convert a subject-specific RGB image dataset into a subject-specific hyperspectral dataset for the optical imaging device, receive a subject- specific RGB dataset, generate a subject- specific hyperspectral dataset using the transformation matrix, and compute a blood hemoglobin level of the subject from the generated subject-specific hyperspectral dataset.

Abstract: A system for generating hyperspectral imaging data for measuring biochemical compositions is disclosed which includes a spectral imaging device adapted to acquire one or more hyperspectral linescan images, an optical imaging device with a red-green-blue (RGB) sensor adapted to acquire an RGB dataset, a processor adapted to co-locate a plurality of pixels in the RGB dataset vs. a corresponding plurality of pixels of the one or more hyperspectral linescan datasets, establish a transformation matrix utilizing the plurality of co-located pixels, apply the transformation matrix to the RGB dataset to thereby generate the hyperspectral dataset, and analyze the generated hyperspectral image dataset to determine the biochemical compositions.