Abstract: A method for detecting and quantifying fibrosis, which involves at least; positioning a non-colored fixed tissue sample on a support; carrying out infrared acquisition, by scanning, of points of the sample; converting the infrared spectrum produced by each acquired point into at least one spectral image; carrying out a digital processing operation on the spectral image by distinguishing between at least physiological collagen and pathological collagen from fibrosis, attributing, to each point, a spectral class defined by an algorithm classifying the spectra according to the spectral similarities % thereof, then attributing a status to each class by statistically comparing with a digital model of spectra; quantifying the relative surface area occupied by the points of each status; and recording the result.

Abstract: A method for detecting and quantifying fibrosis, which involves at least; positioning a non-coloured fixed tissue sample on a support; carrying out infrared acquisition, by scanning, of points of the sample; converting the infrared spectrum produced by each acquired point into at least one spectral image; carrying out a digital processing operation on the spectral image by distinguishing between at least physiological collagen and pathological collagen from fibrosis, attributing, to each point, a spectral class defined by an algorithm classifying the spectra according to the spectral similarities % thereof, then attributing a status to each class by statistically comparing with a digital model of spectra; quantifying the relative surface area occupied by the points of each status; and recording the result.