Modeling and Simulation of the Tissue Engineering Cell Culture Using Cellular Automata.

• Main Authors: Shih-di Chen, 陳世迪
• Other Authors: 鍾志昂
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/32925720620831473383

碩士 === 國立中央大學 === 機械工程研究所 === 95 === To manufacture functional tissues and repair damaged tissues in patients are the aims of the tissues engineering. The popular therapeutic strategy is implantation of generated tissues from in vitro cell-scaffold construction, and then implanted the scaffold into the patients. Tissues engineering is a discipline composed of many subjects, quantification by means of mathematical model can interpret experimental results and identify the dominating factors of the system. Furthermore, predictive modeling offers huge potential in the optimization of culture conditions. The literature studied the dynamic process of cells growth in the scaffold under static culture, used cellular automata to simulate cell proliferation, random walk, cell aggregation, contact inhibition, and inhibition of cell viability. Also using the finite difference method to solve diffusion-reaction equation of the nutrients can find the concentration field of nutrients in the scaffold, and then integrate it into cells dynamic process to form asynchronous cell proliferation. The research found there was the optimal cell migration speed with initial uniform seeding in static culture, and over-high migration speed was disadvantageous to cells growth, and cells in non-uniform seeding could proliferate for a long time as cells proliferation in uniform seeding slowed down. The model offered an alternative method to describe the cells growth process using cellular automata, and expanding the rules in the model to study other process of cells growth was possible. The concept of using slow migration speed in non-uniform seeding to form compact cell distribution may improve the design of cell seeding and culture.