Grasping and manipulation of a micro-particle using multiple optical traps

被引:21
|
作者
Cheah, Chien Chern [1 ]
Ta, Quang Minh [1 ]
Haghighi, Reza [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
Microsystems: nano- and micro-technologies; Robotics technology; Optical manipulation; Motion control; Grasping; BIOLOGICAL CELLS; AUTOMATED MANIPULATION; ROBOTIC MANIPULATION; TWEEZERS; FORCE; MICROMANIPULATION; PARTICLES; SWARM; LASER;
D O I
10.1016/j.automatica.2016.01.059
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In existing control techniques for optical tweezers, a target particle is directly trapped and manipulated by a single laser beam. However, a typical force generated by an optical trap is extremely small (on the order of piconewtons) and thus it is not sufficient to manipulate a large cell or object. Besides, the feasibility of optical manipulation also depends on the physical properties of the specimen. An opaque object or object with the same refractive index as the fluid media may not be trapped directly by the laser beam. Therefore, current control techniques for optical tweezers cannot be utilized to manipulate various types of cells or objects, including untrappable or large ones. In this paper, robotic control techniques are developed for optical tweezers to achieve grasping and manipulation of a microscopic particle, which is beyond the capability of a single optical trap. First, multiple laser beams are generated, and each laser beam is utilized to trap and drive one grasping particle to form a desired shape around the target particle. A grasping formation of trapped particles is thus generated to hold the target particle. Then the target particle is manipulated to a desired position by controlling the motorized stage. The proposed control strategy is particularly suitable for manipulation of large particles, or even untrappable cells or objects. Rigorous mathematical formulations have been developed to analyze the control system for grasping and manipulation of the microscopic particle. Experimental results are presented to illustrate the performance of the proposed grasping and manipulation techniques. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:216 / 227
页数:12
相关论文
共 50 条
  • [1] Micro-Particle Operations Using Asymmetric Traps
    Lee, Jaesung
    Mena, Sarah E. .
    Burns, Mark A.
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [2] Micro-Particle Operations Using Asymmetric Traps
    Jaesung Lee
    Sarah E. Mena
    Mark A. Burns
    Scientific Reports, 9
  • [3] MICRO-PARTICLE TRANSPORT MANIPULATION BY GUIDED-WAVE OPTICAL INTERFERENCE
    Chen, Te-Chang
    Yang, Yao-Tsu
    Wang, Shao-Yu
    Chiu, Wei-Chao
    Hsu, Li-Chung
    Huang, Chieh-Yang
    Shen, Da-Wei
    Lee, Ming-Chang M.
    2012 IEEE 25TH INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS (MEMS), 2012,
  • [4] Diagram for micro-particle manipulation by dielectric and adhesion forces
    Takahashi, Kunio
    Yosetsu Gakkai Shi/Journal of the Japan Welding Society, 2003, 72 (03): : 21 - 24
  • [5] Modeling and Development of a Magnetically Actuated System for Micro-particle Manipulation
    Niu, Fuzhou
    Ma, Weicheng
    Li, Xiangpeng
    Chu, Henry K.
    Yang, Jie
    Ji, Haibo
    Sun, Dong
    2014 IEEE 14TH INTERNATIONAL CONFERENCE ON NANOTECHNOLOGY (IEEE-NANO), 2014, : 127 - 130
  • [6] Robotic Manipulation of a Biological Cell using Multiple Optical Traps
    Cheah, Chien Chern
    Ta, Quang Minh
    Haghighi, Reza
    2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2015, : 803 - 808
  • [7] Efficient counter-propagating wave acoustic micro-particle manipulation
    Grinenko, A.
    Ong, C. K.
    Courtney, C. R. P.
    Wilcox, P. D.
    Drinkwater, B. W.
    APPLIED PHYSICS LETTERS, 2012, 101 (23)
  • [8] Precise micro-particle and bubble manipulation by tunable ultrasonic bottle beams
    Zhou, Qinxin
    Li, Meiying
    Fu, Chiyuan
    Ren, Xuemei
    Xu, Zheng
    Liu, Xiaojun
    ULTRASONICS SONOCHEMISTRY, 2021, 75
  • [10] Robust Micro-Particle Manipulation in a Microfluidic Channel Network Using Gravity-Induced Pressure Actuators
    Lee, Donghyeon
    Lee, Woongyong
    Chung, Wan Kyun
    Kim, Keehoon
    2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2020, : 2879 - 2885