Force and motion analysis for automated cell transportation with optical tweezers
Yanhua Wu, Dong Sun, Wenhao Huang
- Year
- 2011
- Citations
- 10
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.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002