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 (11, 12, 13) 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 (11, 12, 13), by comparing said characteristic information indicating characteristics of the candidate regions (11, 12, 13) 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 (11, 12, 13) 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 (11, 12, 13), by comparing said characteristic information indicating characteristics of the candidate regions (11, 12, 13) 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.