Discerning device, cell mass discerning method, and computer program

A method of discerning a cell mass that is performed by a computer, the method comprising:

• acquiring a trained model that has been subjected to machine learning on the basis of training data in which an index value associated with a first cell mass out of a predetermined index including at least one index selected from size, circularity, darkness, aspect, and roughness is correlated with information indicating whether a state of the first cell mass is a budding state or a cyst state, the index value indicating a feature of the first cell mass obtained from a static image at a point in time when the first cell mass was imaged;
• acquiring an index value associated with a second cell mass out of the predetermined index;
• and
• discerning whether a state of the second cell mass is the budding state or the cyst state on the basis of the acquired index value associated with the second cell mass and the trained model.

A non-transitory computer-readable storage medium including computer executable instructions, wherein the instructions, when executed by a computer, cause the computer to perform a method of a cell mass, the method comprising:

• acquiring a trained model that has been subjected to machine learning on the basis of training data in which an index value associated with a first cell mass out of a predetermined index including at least one index selected from size, circularity, darkness, aspect, and roughness is correlated with information indicating whether a state of the first cell mass is a budding state or a cyst state, the index value indicating a feature of the first cell mass obtained from a static image at a point in time when the cell mass was imaged:
• acquiring an index value associated with a second cell mass out of the predetermined index;
• and
• discerning whether a state of the second cell mass is the budding state or the cyst state on the basis of the acquired index value associated with the second cell mass and the trained model.