Abstract: A method measures the efficacy of a stain/tissue combination for histological tissue image data comprising a set of pixels. The measures of efficacy comprise a statistical measure of clustering performance of the different stain/tissue combinations in the Maxwellian Chromaticity plane, and a representative density of the stain/tissue combinations in the density maps. The method captures histological tissue image data using a light absorbent stain; transforms the histological tissue image data to optical density data; projects the optical density data to the Maxwellian Chromaticity plane; identifies at least one reference color using a statistical technique; inverts the reference color to form a color mixing matrix; derives a density map; derives a statistical measure for the clustering performance of the different stain/tissue combinations in the Maxwellian Chromaticity plane; and finds a representative density of the stain/tissue combinations in the density maps.

Abstract: A method measures the efficacy of a stain/tissue combination for histological tissue image data comprising a set of pixels. The measures of efficacy comprise a statistical measure of clustering performance of the different stain/tissue combinations in the Maxwellian Chromaticity plane, and a representative density of the stain/tissue combinations in the density maps. The method captures histological tissue image data using a light absorbent stain; transforms the histological tissue image data to optical density data; projects the optical density data to the Maxwellian Chromaticity plane; identifies at least one reference color using a statistical technique; inverts the reference color to form a color mixing matrix; derives a density map; derives a statistical measure for the clustering performance of the different stain/tissue combinations in the Maxwellian Chromaticity plane; and finds a representative density of the stain/tissue combinations in the density maps.

Abstract: The method according to the invention generates a color decomposition of histological tissue image data into density maps, where each density map corresponds to the portion of the original image data that contains one stain/tissue combination. After a microscope captures histological tissue image data from a tissue sample that has been stained with at least one stain, the said stain or stains being light absorbent, the method derives from the histological tissue image data a color mixing matrix with the columns of the matrix being color reference vectors. From this mixing matrix the method derives a density map, when the mixing matrix is well-conditioned, by applying a pseudo-inverse of the mixing matrix to the optical density data, and when the mixing matrix is medially-conditioned, by applying a piece-wise pseudo-inverse of the mixing matrix to the optical density data. The method according to the invention also generates stain/tissue combination efficacy measures.

Abstract: The method according to the invention generates a color decomposition of histological tissue image data into density maps, where each density map corresponds to the portion of the original image data that contains one stain/tissue combination. After a microscope captures histological tissue image data from a tissue sample that has been stained with at least one stain, the said stain or stains being light absorbent, the method derives from the histological tissue image data a color mixing matrix with the columns of the matrix being color reference vectors. From this mixing matrix the method derives a density map, when the mixing matrix is well-conditioned, by applying a pseudo-inverse of the mixing matrix to the optical density data, and when the mixing matrix is medially-conditioned, by applying a piece-wise pseudo-inverse of the mixing matrix to the optical density data. The method according to the invention also generates stain/tissue combination efficacy measures.