Infection diagnostic equipment and methods for microscopic agglutination tests

摘要

PROBLEM TO BE SOLVED: To accurately and quickly make a judgment in an agglutination test under a microscope. An infection diagnostic apparatus includes a first deep learning device, calculates the feature amount of a microscopic image acquired from the outside by the first deep learning device, and returns the free bacteria ratio from the feature amount. A regression unit that executes learning for the first deep learner using appropriate microscopic image data as input data and free bacteria ratio data attached to each of the microscopic image data as output data. , A classification unit that classifies the presence or absence of infection from a plurality of sets (dilution degree, free bacteria ratio) data in one test serum by the second deep learning device, including a second deep learning device. , Multiple sets of (dilution degree, free bacteria ratio) data for each of the plurality of test sera are used as input data, and labels indicating infection / non-infection for each test sera are used as output data for the second deep learning. It is equipped with a classification unit that performs learning on the vessel. [Selection diagram] Fig. 1