Learning model generation method, identification method, learning model generation system, identification system, and non-transitory computer-readable storage medium

An identification method of identifying a cell that is a target for identification on the basis of a captured image of the cell, the method comprising:

• acquiring a hologram for identification in which an image of the cell that is a target for identification is captured;
• generating a new hologram for identification having a different focal position from the acquired hologram for identification and increasing the number of holograms for identification;
• and
• identifying the cell that is a target for identification on the basis of the increased holograms for identification.

A learning model generation system configured to generate a learning model for identifying a cell on the basis of a captured image of the cell, the system comprising circuitry configured to:

• acquire a hologram for model generation in which an image of a cell is captured and which is used to generate a learning model;
• generate a new hologram for model generation having a different focal position from the acquired hologram for model generation and increase the number of holograms for model generation;
• and
• generate the learning model by performing machine learning using the increased holograms for model generation.

An identification system configured to identify a cell that is a target for identification on the basis of a captured image of the cell, the system comprising circuitry configured to:

• acquire a hologram for identification in which an image of the cell that is a target for identification is captured;
• generate a new hologram for identification having a different focal position from the acquired hologram for identification and increase the number of holograms for identification;
• and
• identify the cell that is a target for identification on the basis of the increased holograms for identification.

A non-transitory computer-readable storage medium storing a learning model generation program causing a computer to operate as a learning model generation system configured to generate a learning model for identifying a cell on the basis of a captured image of the cell, the program causing the computer to:

• acquire a hologram for model generation in which an image of a cell is captured and which is used to generate a learning model;
• generate a new hologram for model generation having a different focal position from the acquired hologram for model generation and increase the number of holograms for model generation;
• and
• generate the learning model by performing machine learning using the increased holograms for model generation.

A non-transitory computer-readable storage medium storing an identification program causing a computer to operate as identification system configured to identify a cell that is a target for identification on the basis of a captured image of the cell, the program causing the computer to:

• acquire a hologram for identification in which an image of the cell that is a target for identification is captured;
• generate a new hologram for identification having a different focal position from the acquired hologram for identification and increase the number of holograms for identification;
• and
• identify the cell that is a target for identification on the basis of the increased holograms for identification.