Abstract: There are provided a production method for a therapeutic agent for arthrosis, in which a population including a plurality of mesenchymal stem cells being cultured is imaged to acquire a cell image, the cell image is analyzed to derive density information on the mesenchymal stem cells in the cell image, colonies, which are formed by the mesenchymal stem cells in the population, are detected based on the density information, and the population is sorted based on at least one of an average colony size or a colony forming unit, which is derived from the detected colonies, and provided a therapeutic agent for arthrosis, which is produced by the production method for a therapeutic agent for arthrosis.

Abstract: Provided are a pathological diagnosis support apparatus, an operation method for a pathological diagnosis support apparatus, and an operation program for a pathological diagnosis support apparatus, by which the detection accuracy of a fibrotic region can be improved. An RW control unit of the pathological diagnosis support apparatus acquires a sample image obtained by imaging a sample of a liver stained with Sirius red by reading it out from a storage device. A detection unit detects a fibrotic region of the liver by comparing, with a preset threshold value, a ratio between the pixel values of a G channel and an R channel among three color channels of RGB of the sample image. A derivation unit derives evaluation information indicating a degree of fibrosis of the liver based on the detected fibrotic region. A display control unit outputs the evaluation information by displaying an analysis result display screen including the evaluation information on a display.

Abstract: An image analysis apparatus including a processor configured to: acquire a first fluorescence image indicating an observation target including a plurality of types of cells, each of which has a first region stained by first staining, and a second fluorescence image indicating the observation target in which a second region of a specific cell among the plurality of types of cells is stained by second staining different from the first staining; determine whether or not the first region is included in the second region in a superimposed image obtained by superimposing the first fluorescence image and the second fluorescence image and acquire a first determination result for each of the first regions; and determine the type of cell included in the observation target on the basis of the first determination result.

Abstract: An image analysis apparatus including a processor configured to: acquire a first fluorescence image indicating an observation target including a plurality of types of cells, each of which has a first region stained by first staining, and a second fluorescence image indicating the observation target in which a second region of a specific cell among the plurality of types of cells is stained by second staining different from the first staining; determine whether or not the first region is included in the second region in a superimposed image obtained by superimposing the first fluorescence image and the second fluorescence image and acquire a first determination result for each of the first regions; and determine the type of cell included in the observation target on the basis of the first determination result.

Abstract: A fluorescence observation device includes an oxygen saturation calculation section, a reference region setting section, a region-of-interest setting section, a normalized fluorescence intensity calculation section, and a fluorescent image generation section. The oxygen saturation calculation section calculates the oxygen saturation of the subject for each pixel. The reference region setting section sets a reference region of the subject based on the oxygen saturation. The region-of-interest setting section sets a region of interest of the subject.

Abstract: A fluorescence observation device includes an oxygen saturation calculation section, a reference region setting section, a region-of-interest setting section, a normalized fluorescence intensity calculation section, and a fluorescent image generation section. The oxygen saturation calculation section calculates the oxygen saturation of the subject for each pixel. The reference region setting section sets a reference region of the subject based on the oxygen saturation. The region-of-interest setting section sets a region of interest of the subject.