Abstract: A system for evaluating stem cell differentiation includes a storage configured to store a machine learned model that has learned success or failure of cell differentiation for a combination of a stem cell and a differentiation induction method, an acquisition unit configured to acquire a target cell image that is an image of a target cell that is a stem cell to be induced to differentiate and differentiation induction information that is information related to a differentiation induction method applied to the target cell, and a processor configured to output differentiation success or failure information indicating an inference result related to success or failure of differentiation of the target cell into a desired cell type on the basis of the target cell image, the differentiation induction information, and the machine learned model. The differentiation induction information includes information indicating the type of a stimulus given to the target cell.

Abstract: The apparatus includes a processor that selects parameter-setting candidate information by referring to a database about a parameter setting history of image analysis that analyzes a cell image, and an output unit that outputs the selected parameter-setting candidate information. The database includes setting history information that is a collection of pieces of combination information indicating combinations of parameters having been set in previously-performed image analysis, and is a collection of pieces of combination information including a recognition parameter that specifies an object of image recognition and an analysis parameter that specifies what feature of the object of image recognition is focused on in performing image analysis. The processor, in response to selection of a first parameter as a recognition parameter, selects the parameter-setting candidate information based on combination information including the first parameter in the setting history information.