Information processing apparatus, operation method of information processing apparatus, and operation program of information processing apparatus

An operation method of an information processing apparatus that predicts a state of a target component in a suspension in which biological molecules are dispersed as components in a liquid, based on spectral data obtained by measuring electromagnetic waves emitted from the suspension, the operation method comprising:

• using a state prediction model calibrated with standard spectral data obtained from a standard suspension in a standard measurement environment;
• acquiring target spectral data obtained from a target suspension in which the state of the target component is unknown, in a target measurement environment different from the standard measurement environment;
• acquiring a correction coefficient derived by comparing the standard spectral data with reference spectral data that corresponds to the target spectral data and that is obtained from the standard suspension in the target measurement environment;
• correcting the target spectral data with the correction coefficient to generate corrected target spectral data;
• and
• applying the corrected target spectral data to the state prediction model so that the state prediction model predicts the state of the target component.

A non-transitory computer-readable storage medium storing an operation program of an information processing apparatus that predicts a state of a target component in a suspension in which biological molecules are dispersed as components in a liquid, based on spectral data obtained by measuring electromagnetic waves emitted from the suspension, the operation program causing a computer to execute a process comprising:

• using a state prediction model calibrated with standard spectral data obtained from a standard suspension in a standard measurement environment;
• acquiring target spectral data obtained from a target suspension in which the state of the target component is unknown, in a target measurement environment different from the standard measurement environment;
• acquiring a correction coefficient derived by comparing the standard spectral data with reference spectral data that corresponds to the target spectral data and that is obtained from the standard suspension in the target measurement environment;
• correcting the target spectral data with the correction coefficient to generate corrected target spectral data;
• and
• applying the corrected target spectral data to the state prediction model so that the state prediction model predicts the state of the target component.