Path Planning for 3D Transportation of Biological Cells with Optical Tweezers

Ju, Tao (鞠涛); Liu, Shuang (劉爽); Yang, Jie; Sun, Dong

Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/6401

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DC Field	Value	Language
dc.contributor.author	Ju, Tao (鞠涛)
dc.contributor.author	Liu, Shuang (劉爽)
dc.contributor.author	Yang, Jie
dc.contributor.author	Sun, Dong
dc.date.accessioned	2011-09-15T08:55:43Z
dc.date.accessioned	2017-09-19T09:18:54Z
dc.date.accessioned	2019-02-12T08:40:40Z	-
dc.date.available	2011-09-15T08:55:43Z
dc.date.available	2017-09-19T09:18:54Z
dc.date.available	2019-02-12T08:40:40Z	-
dc.date.issued	2011-08
dc.identifier.other	mbe2011-001
dc.identifier.uri	http://144.214.8.231/handle/2031/6401	-
dc.description.abstract	Manipulation of biological cells has recently drawn tremendous attention for its wide applications in biomedical fields such as cell-cell interaction, drug discovery, and tissue engineering. This paper presents a rapidly-exploring random trees (RRT) based path planner for transportation of biological cells in robotic transportation with optical tweezers in three dimensions (3D). By integrating the RRT algorithm into the optical tweezers manipulation system, we can successfully transport biological cells with high precision while avoiding obstacles during cell movement. Simulations and experiment are performed in transporting yeast cells to demonstrate the effectiveness of the proposed approach.
dc.rights	This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
dc.rights	Access is unrestricted.
dc.subject	cell transportation
dc.subject	optical tweezers
dc.subject	3D path planning
dc.title	Path Planning for 3D Transportation of Biological Cells with Optical Tweezers	en_US
dc.type	Article	en_US
dc.contributor.department	Dept. of Mechanical and Biomedical Engineering, CityU and Dept. of Precision Machinery and Precision Instrumentation, USTC (Ju Tao); Department of Mechanical and Biomedical Engineering, CityU (Liu Shuang, Prof. Sun Dong); Dept. of Precision Machinery and Precision Instrumentation, USTC (Prof. Yang Jie)	en_US
dc.description.award	Won the Best Paper in Automation award at The 2011 IEEE International Conference on Automation and Logistics (IEEE ICAL 2011) organized by IEEE ICAL committee.
dc.description.fulltext	Award winning work is available.
dc.description.supervisor	Prof. Sun, Dong	en_US
Appears in Collections:	Student Works With External Awards

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