Bacterium number measuring method and bacterium number measuring system

A bacterium number measuring method, comprising:

• causing an analyzing part to perform measurement analysis based on information in a storage part that stores known bacterial growth curves in advance, wherein
• the analyzing part has a plurality of first cultures each containing a bacterial liquid that contains a measurement target bacteria which is a target bacteria for performing bacterium number measurement and second cultures being different from the first cultures and containing the bacterial liquid and an antimicrobial drug, and performs first measurement which measures the number of bacteria in the first cultures on a culturing part where culturing has been started in the first cultures and the second cultures,
• in performing the measurement analysis, the analyzing part compares a result of the first measurement with the growth curves stored in the storage part and thereby determines a timing to perform second measurement which measures the number of bacteria in the second cultures to determine a minimum inhibitory concentration of the measurement target bacterium,
• the analyzing part performs the second measurement at the timing thus determined,
• comparing the result of the first measurement with the growth curves uses machine learning based on one of regression analysis, clustering analysis, and a neural network, and
• at least one of the first measurement and the second measurement is a measurement using fluorescence emission from genes or protein of the measurement target bacterium.