An image processing device including a storage unit and a control unit to execute image analysis processing in cooperation with an image processing program stored in the storage unit to provide: a first extraction means for extracting a plurality of candidate regions from a bright field image from a microscopic imaging acquisition device representing a form of a predetermined structure of a cell in a tissue sample and extracting characteristic information from the bright field image for each candidate region, said characteristic information including at least one of a size, a shape and a position of the candidate region; an acquisition means for acquiring biological substance information on at least one kind of biological substance from a fluorescent image representing expression of one or more kinds of biological substances in the tissue sample, wherein said biological substances include a protein, a peptide, an antibody and a nucleic acid and wherein said biological substance information includes at least one of a position of a fluorescent bright spot in the fluorescent image, a number of fluorescent bright spots per candidate region in the fluorescent image and a density of fluorescent bright spots in the fluorescent image; a second extraction means for extracting at least one diagnosis target region from the plurality of candidate regions , by comparing said characteristic information indicating characteristics of the candidate regions with stored characteristic information data to determine whether a candidate region is a diagnosis target region; and a creation means for creating the number per cell, the density or the distribution of a specific protein for each diagnosis target region based on the biological substance information in the corresponding diagnosis target region extracted by the second extraction means. a first extraction means for extracting a plurality of candidate regions from a bright field image from a microscopic imaging acquisition device representing a form of a predetermined structure of a cell in a tissue sample and extracting characteristic information from the bright field image for each candidate region, said characteristic information including at least one of a size, a shape and a position of the candidate region; an acquisition means for acquiring biological substance information on at least one kind of biological substance from a fluorescent image representing expression of one or more kinds of biological substances in the tissue sample, wherein said biological substances include a protein, a peptide, an antibody and a nucleic acid and wherein said biological substance information includes at least one of a position of a fluorescent bright spot in the fluorescent image, a number of fluorescent bright spots per candidate region in the fluorescent image and a density of fluorescent bright spots in the fluorescent image; a second extraction means for extracting at least one diagnosis target region from the plurality of candidate regions , by comparing said characteristic information indicating characteristics of the candidate regions with stored characteristic information data to determine whether a candidate region is a diagnosis target region; and a creation means for creating the number per cell, the density or the distribution of a specific protein for each diagnosis target region based on the biological substance information in the corresponding diagnosis target region extracted by the second extraction means. <EOS>