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

Daiki Miyata, Keitaro Kasahara, Takahiro Yamada, Yuta Tokuoka, Yujin Taguchi, Yuta Kurashina, Akira Funahashi, Hiroaki Onoe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages646-649
Number of pages4
ISBN (Electronic)9784886864352
Publication statusPublished - 2023
Event22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023 - Kyoto, Japan
Duration: 2023 Jun 252023 Jun 29

Publication series

Name2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

Conference

Conference22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
Country/TerritoryJapan
CityKyoto
Period23/6/2523/6/29

Keywords

  • Bayesian optimization
  • Electrical stimulation
  • Experimental automation
  • Machine learning
  • Skeletal muscle tissue
  • Tissue maturation

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

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