肌肉纤维样细胞结构力刺激的微型机器人操作系统

Xie Chen, Qing Shi, S. Shimoda, Tao Sun, Huaping Wang, Qiang Huang, T. Fukuda
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引用次数: 0

摘要

许多先前的工作促进了肌肉细胞(C2C12)排列形成纤维样细胞结构。然而,如何诱导细胞结构中的C2C12成肌细胞分化为成熟的肌细胞,形成功能性肌肉组织,仍然是一个挑战,而外部机械刺激已被证明对成肌细胞的增殖和分化有良好的影响。本文提出了一种基于视觉的微型机器人操作系统,以实现对单个肌肉纤维样细胞结构(MFCS)的自动机械刺激。采用连接在三自由度机械臂上的管道和探针对MFCS进行单轴机械刺激训练。为了测量施加在MFCS上的力,采用了基于视觉的测量和校正方法,使误差降低了74%。此外,基于MFCS的粘弹性特性,采用反馈控制算法补偿力损失,实现力的激励。实验110s后,力的最终值仍为699±1μN。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Micro Robotic Manipulation System for the Force Stimulation of Muscle Fiber-like Cell Structure
Many previous works have facilitated muscle cell (C2C12) alignment to form fiber-like cell structures. However, there still remains a challenge how to induce C2C12 myoblasts in the cell structures to differentiate into matured myocytes to form a functional muscle tissue, while external mechanical stimulation has been proved to have good effects on proliferation and differentiation of myoblasts. In this paper, we proposed a vision-based micro robotic manipulation system to achieve automatic mechanical stimulation for one single muscle fiber-like cell structures (MFCS). A tube, which is attached to a three degree-of-freedom (DOF) manipulator, and a probe are employed to apply the uniaxial mechanical stimulation to train the MFCS. To measure the force applied on MFCS, a vision-based measuring and correction method is utilized, which decrease the error by 74%. Moreover, based on the viscoelastic property of the MFCS, a feedback control algorithm has been applied to compensate for the force loss to realize the force stimulation. And the final value of force remains 699 ± 1μN after 110s experiment.
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