Image analysis method, apparatus, program, and learned deep learning algorithm

An image analysis system for analyzing an image of a tissue or a cell using a deep learning algorithm of a neural network structure, the system comprising:

• an imaging device configured to capture the image of the tissue or the cell;
• and
• an image analysis apparatus connected to the imaging device and configured to analyze the image of the tissue or the cell using the deep learning algorithm, the image analysis apparatus comprising a processing unit configured to
• generate analysis data from an analysis target image that includes the tissue or cell to be analyzed;
• input the analysis data to the deep learning algorithm;
• and
• generate data indicating a region of a cell nucleus in the analysis target image by the deep learning algorithm,
• wherein training data used for learning of the deep learning algorithm are generated based on a bright field image of a tissue specimen or a sample containing a cell captured under a bright field microscope, wherein the tissue specimen or the sample is prepared by staining for bright field observation the tissue specimen collected from an individual or the sample collected from an individual, and a fluorescence image of a cell nucleus in the same tissue specimen or the same sample prepared by applying fluorescent nuclear stain to the same tissue specimen or the same sample for fluorescence observation by a fluorescence microscope, the fluorescence image being such that a position in the tissue specimen or the sample of the fluorescence image corresponds to a position in the tissue specimen or the sample of the bright field image and wherein the fluorescence image indicates which part of the bright field image is the cell nucleus region.