Patent ID: 11861889
Assignee: THE UNIVERSITY OF TOKYO
Field: Measurement (Instruments)
Classification: CPC G  C | IPC C  G

Claim 0:
1. An analysis system classifying at least one target object among one or more observed objects comprising:
(a) one or more flow cytometers comprising:
(i) at least one flow path configured to permit one or more observed objects to flow therethrough; and
(ii) a light-receiving unit comprising one or more sensors, wherein the one or more sensors are configured to (i) receive at least one electromagnetic wave from the one or more observed objects and (ii) convert the at least one electromagnetic wave into one or more time-series electrical signals;

(b) one or more processors configured to perform machine learning to train a classification model based on the one or more time-series electrical signals from the one or more flow cytometers, wherein the one or more time-series electrical signals comprise one or more signals obtained from the at least one target object; and
(c) one or more logic circuits configured to analyze the one or more time-series electrical signals from the one or more flow cytometers to classify or recognize the at least one target object among the one or more observed objects using the classification model.