Apply RRT-based path planning to robotic manipulation of biological cells with optical tweezer

Tao Ju; Shuang Liu; Jie Yang; Dong Sun

doi:10.1109/ICMA.2011.5985660

Apply RRT-based path planning to robotic manipulation of biological cells with optical tweezer

Tao Ju
, Shuang Liu
, Jie Yang
, Dong Sun

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

22 Citations (Scopus)

Abstract

Cell transportation represents one of essential operations in many cellular engineering applications such as cell sorting and cell fusion, and has great potential in biomedical engineering and drug industry. This paper presents a path planning approach to cell transportation, where the cell is trapped by optical tweezer and controlled robotically to move towards the target position. To determine the collision-free path for the cell transportation, we develop a fast path planner based on RRT algorithm (Rapidly-exploring random trees). Simulation and experiment that are performed in transporting yeast cells demonstrate the effectiveness of the proposed approach. © 2011 IEEE.

Original language	English
Title of host publication	2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011
Pages	221-226
DOIs	https://doi.org/10.1109/ICMA.2011.5985660
Publication status	Published - 2011
Event	2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011 - Beijing, China Duration: 7 Aug 2011 → 10 Aug 2011

Conference

Conference	2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011
Place	China
City	Beijing
Period	7/08/11 → 10/08/11

Research Keywords

Cell manipulation
image processing
optical tweezers
path planning

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10.1109/ICMA.2011.5985660

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@inproceedings{10a80a2be60943b1b3d12bc5f6f601c4,

title = "Apply RRT-based path planning to robotic manipulation of biological cells with optical tweezer",

abstract = "Cell transportation represents one of essential operations in many cellular engineering applications such as cell sorting and cell fusion, and has great potential in biomedical engineering and drug industry. This paper presents a path planning approach to cell transportation, where the cell is trapped by optical tweezer and controlled robotically to move towards the target position. To determine the collision-free path for the cell transportation, we develop a fast path planner based on RRT algorithm (Rapidly-exploring random trees). Simulation and experiment that are performed in transporting yeast cells demonstrate the effectiveness of the proposed approach. {\textcopyright} 2011 IEEE.",

keywords = "Cell manipulation, image processing, optical tweezers, path planning",

author = "Tao Ju and Shuang Liu and Jie Yang and Dong Sun",

year = "2011",

doi = "10.1109/ICMA.2011.5985660",

language = "English",

isbn = "9781424481149",

pages = "221--226",

booktitle = "2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011",

note = "2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011 ; Conference date: 07-08-2011 Through 10-08-2011",

}

Ju, T, Liu, S, Yang, J & Sun, D 2011, Apply RRT-based path planning to robotic manipulation of biological cells with optical tweezer. in 2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011., 5985660, pp. 221-226, 2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011, Beijing, China, 7/08/11. https://doi.org/10.1109/ICMA.2011.5985660

Apply RRT-based path planning to robotic manipulation of biological cells with optical tweezer. / Ju, Tao; Liu, Shuang; Yang, Jie et al.
2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011. 2011. p. 221-226 5985660.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Apply RRT-based path planning to robotic manipulation of biological cells with optical tweezer

AU - Ju, Tao

AU - Liu, Shuang

AU - Yang, Jie

AU - Sun, Dong

PY - 2011

Y1 - 2011

N2 - Cell transportation represents one of essential operations in many cellular engineering applications such as cell sorting and cell fusion, and has great potential in biomedical engineering and drug industry. This paper presents a path planning approach to cell transportation, where the cell is trapped by optical tweezer and controlled robotically to move towards the target position. To determine the collision-free path for the cell transportation, we develop a fast path planner based on RRT algorithm (Rapidly-exploring random trees). Simulation and experiment that are performed in transporting yeast cells demonstrate the effectiveness of the proposed approach. © 2011 IEEE.

AB - Cell transportation represents one of essential operations in many cellular engineering applications such as cell sorting and cell fusion, and has great potential in biomedical engineering and drug industry. This paper presents a path planning approach to cell transportation, where the cell is trapped by optical tweezer and controlled robotically to move towards the target position. To determine the collision-free path for the cell transportation, we develop a fast path planner based on RRT algorithm (Rapidly-exploring random trees). Simulation and experiment that are performed in transporting yeast cells demonstrate the effectiveness of the proposed approach. © 2011 IEEE.

KW - Cell manipulation

KW - image processing

KW - optical tweezers

KW - path planning

UR - https://www.scopus.com/pages/publications/81055138847

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-81055138847&origin=recordpage

U2 - 10.1109/ICMA.2011.5985660

DO - 10.1109/ICMA.2011.5985660

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424481149

SP - 221

EP - 226

BT - 2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011

T2 - 2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011

Y2 - 7 August 2011 through 10 August 2011

ER -

Apply RRT-based path planning to robotic manipulation of biological cells with optical tweezer

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