Study on optimization system of cell culture environment corresponding to the cell change of state for autologous culture

本研究发展了细胞组织的无创性定量评价技术，以选择与细胞状态变化相对应的最佳细胞培养环境。开发的系统结果表明，能够同时执行多个细胞的矢量分析和群体中单个细胞的实时迁移。综上所述，基于培养环境刺激响应的图像分析在再生医学细胞状态检测中是有效的。

In this study, evaluation technique of cell tissue noninvasively and quantitatively was developed to select optimal cell culture environment corresponding to the cell change of state. The developed system results demonstrated the ability to perform vector analysis at the same time for plural numbers of cells and migration of individual cells in the population in real-time. In conclusion, it was suggested that image analysis based on the stimulation response of the culture environment was effective for measurement of cellular state in regenerative medicine.