Study on cell culture processing system to improve task efficiency

-Prediction of injection stop timing by machine learning-

Abstract

Currently, in the field of regenerative medicine, cell processing is being performed manually. Such process is labor intensive and expensive, and its efficiency still needs to be enhanced. Recently, automatic cell culture apparatuses that are equipped with a vertical articulated robot have been proposed. However, the automation of all cell processing tasks complicates the system. This study aimed to develop a simple and rational cell processing system through the combination of the tasks performed by a robot and those performed by a human. In a previous study, we improved the efficiency of discarding and injecting tasks using a robot arm in the media changing process. In the present study, we propose an algorithm to predict injection stop timing by machine learning.