Exloring Autonomous Optimal Experimental Conditions for In Vitro Tissue Maturation with Batch Bayesian Optimization

This paper describes an in vitro parallel culture system driven by batch Bayesian optimization (BBO) algorithm to explore an optimal experimental condition for automatically efficient and quick tissue maturation. By our system, automatically generated new electric stimulation parameters to increase the level of maturation in parallel culture of myocyte tissues. We fabricated the electrical stimulation device and set three independent parameters (voltage, frequency, stimulus date) according to the BBO algorithm. After the cell cultivation under the electrical stimuli, the score of the maturation level was evaluated by image analysis of immunostaining and used for generating the next stimulation parameters by BBO. We believe that our system could discover the optimal condition for tissue maturation quickly and automatically, which is difficult for humans to discover through experiments.