主催: 一般社団法人 日本機械学会
会議名: 2023年度 年次大会
開催日: 2023/09/03 - 2023/09/06
One way to ensure the reproducibility of cell experiments is to automate the workflow, which can be achieved using microfluidic device technology. However, microfluidic device technology is only used in a few studies because it requires a lot of time and money, in addition to the know-how needed to develop the technology. In this study, modular microfluidic devices that are inexpensive and freely combinable were developed by integrating micromilling and soft lithography technologies, and the performance of a prototype cell counting device was evaluated. The combination of such single-function devices (modules) and the use of machine learning is expected to improve the efficiency of microfluidic device development.