Quality Prediction of Embryonic Bodies on Integrated Spheroid Culture Chip by Using 3D Convolutional Neural Network

• Published in: 2020 IEEE 33rd International Conference on Micro Electro Mechanical Systems (MEMS) pp. 461 - 464
• Main Authors: Suda, Shuya, Aoyama, Chihiro, Ikeuchi, Masashi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-01-2020
• Subjects: 3D Convolutional Neural Network; Embryonic Body quality prediction; Integrated Spheroid Culture Chip
• ISSN: 2160-1968
• DOI: 10.1109/MEMS46641.2020.9056339

We propose a system to mass produce organoids and embryonic bodies (EBs) by combining quality prediction at early stages based on a three-dimensional convolutional neural network (3DCNN) and the integrated spheroid culture chip "PASMA" that utilizes the soft-MEMS technology. In this report, 1,000 EBs were cultured on the chip at once, and label-free time-lapse images of each EB were recorded before a final viability assay. In proof-of-concept experiments, the success ratio of EB formation and the final size of EBs were predicted. The success ratio of EB formation was predicted with 96.5% accuracy, and the prediction error for the final diameter of EBs was \pm 6.9\mu \mathrm{m} .