Force and motion analysis for automated cell transportation with optical tweezers

Yanhua Wu, Dong Sun, Wenhao Huang
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引用次数: 11

Abstract

Optical tweezers utilize highly focused laser beam to produce optical forces on the object, and can be used for trapping, orienting and moving micro-/nano-scaled particles, ideally for biological cells. At present time, the majority of tasks with optical tweezers are carried out manually. Increasing demands for both accuracy and efficiency in cell manipulation highlight the need for automation process that integrates robotics and optical tweezer technologies. In this paper, we propose to use a robot-tweezer manipulation system to automatically transport cells. We calibrate the forces applied to the trapped cell by a dynamic viscous-drag-force method to determine the optimal motion parameters, and adopt a modified A-star algorithm for path planning during automated transportation. Experiments are performed on manipulating living cells to demonstrate the effectiveness of the proposed approach.
用光学镊子自动细胞运输的力和运动分析
光镊利用高度聚焦的激光束在物体上产生光力,可用于捕获、定向和移动微/纳米级粒子,最理想的是用于生物细胞。目前,大多数使用光镊的任务都是手动进行的。对细胞操作的准确性和效率的要求越来越高,这突出了集成机器人和光学镊子技术的自动化过程的需求。在本文中,我们建议使用机器人镊子操作系统来自动运输细胞。采用动态粘-拖-力法对被困细胞施加的力进行标定,确定最优运动参数,并采用改进的a -star算法进行自动运输过程中的路径规划。在操纵活细胞上进行了实验,以证明所提出方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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