Moving Groups of Microparticles Into Array With a Robot–Tweezers Manipulation System

Chen, Haoyao; Sun, Dong

doi:10.1109/tro.2012.2196309

Cited by 137 publications

(64 citation statements)

References 48 publications

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“…When a laser beam is focused on a particle or cell, it forms a three dimensional optical potential well that can induce optical pressure to capture particle. The captured particles or cells can be transported for sorting [81][82][83][84] or patterning 85,86 by controlling the track of optical tweezers. The sorting methods based on optical tweezers can be classified into passive and active modes.…”

Section: Optical Tweezersmentioning

confidence: 99%

Microfluidics cell sample preparation for analysis: Advances in efficient cell enrichment and precise single cell capture

et al. 2017

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Single cell analysis has received increasing attention recently in both academia and clinics, and there is an urgent need for effective upstream cell sample preparation. Two extremely challenging tasks in cell sample preparation-highefficiency cell enrichment and precise single cell capture-have now entered into an era full of exciting technological advances, which are mostly enabled by microfluidics. In this review, we summarize the category of technologies that provide new solutions and creative insights into the two tasks of cell manipulation, with a focus on the latest development in the recent five years by highlighting the representative works. By doing so, we aim both to outline the framework and to showcase example applications of each task. In most cases for cell enrichment, we take circulating tumor cells (CTCs) as the target cells because of their research and clinical importance in cancer. For single cell capture, we review related technologies for many kinds of target cells because the technologies are supposed to be more universal to all cells rather than CTCs. Most of the mentioned technologies can be used for both cell enrichment and precise single cell capture. Each technology has its own advantages and specific challenges, which provide opportunities for researchers in their own area. Overall, these technologies have shown great promise and now evolve into real clinical applications. Published by AIP Publishing. [http://dx

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Section: Optical Tweezersmentioning

confidence: 99%

Microfluidics cell sample preparation for analysis: Advances in efficient cell enrichment and precise single cell capture

et al. 2017

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“…A dynamic path planner for the indirect optical transport of multiple cells was proposed by Banerjee et al (2012). Chen and Sun (2012) developed a region-based flocking control strategy to manipulate multiple cells in formations. The work of Chowdhury et al (2013) investigated a planning method for fast array of cells in the presence of liquid flow.…”

Section: Introductionmentioning

confidence: 99%

“…The approaches by Aguilar-Ibanez et al (2010), Hu and Sun (2011), Chen and Sun (2012), Banerjee et al (2012), and Chowdhury et al (2013) solved the cell transfer problem but failed to guarantee that the cell can always be maintained within the optical trap. Li, Cheah, Hu, and Sun (2013) attempted to address both cell trapping and positioning problems but did not consider the problem of obstacle avoidance in manipulation.…”

Section: Introductionmentioning

confidence: 99%

“…Li, Cheah, Hu, and Sun (2013) attempted to address both cell trapping and positioning problems but did not consider the problem of obstacle avoidance in manipulation. Furthermore, all these approaches (Chen & Sun, 2012;Hu & Sun, 2011;Li, Cheah, Hu, & Sun, 2013) required additional planners to generate pre-defined trajectories for cell transfer. The proposed controller in this paper does not require a pre-defined trajectory because it is potential field-based, and the motion trajectory is generated automatically by the potential field.…”

Section: Introductionmentioning

confidence: 99%

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Design of a robust unified controller for cell manipulation with a robot-aided optical tweezers system

Yang

Wang

et al. 2015

Automatica

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“…In [20], dynamic interaction between the cell and the manipulator of laser source was studied and a setpoint control approach was proposed, which was further extended to a region reaching controller. An automated arraying approach was developed in [21] to place groups of microparticles into a predefined array with right pairs using holographic optical tweezers. Cell patterning of a group of cells was considered in [22] with a multilevel-based topology design, which can form various desired patternings with rotation and scaling capabilities.…”

Section: Introductionmentioning

confidence: 99%

Robotic manipulation of micro/nanoparticles using optical tweezers with velocity constraints and stochastic perturbations

Yan

Cheah

Pham

et al. 2015

2015 IEEE International Conference on Robotics and Automation (ICRA)

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Abstract-Various control approaches have been developed for micro/nanomanipulations using optical tweezers. Most existing methods assume that the micro/nanoparticles stay trapped during manipulations, and stochastic perturbations (Brownian motion) are usually ignored for the simplification of model dynamics. However, the trapped particles could escape from the optical traps especially in motion due to several possible reasons: small trapping stiffness, stochastic perturbations, and kinetic energy gained during manipulation. This paper investigates the conditions under which micro/nanoparticles will stay trapped while in motion. The dynamics of the trapped particles subject to stochastic perturbations is analyzed. Dynamic trapping is considered and the maximum manipulation velocity is determined from a probabilistic perspective. A controller with certain velocity bound is proposed, the stability of the system is analysed in presence of stochastic perturbation. Experimental results are presented to show the effectiveness of the proposed control approach.

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Moving Groups of Microparticles Into Array With a Robot–Tweezers Manipulation System

Cited by 137 publications

References 48 publications

Microfluidics cell sample preparation for analysis: Advances in efficient cell enrichment and precise single cell capture

Microfluidics cell sample preparation for analysis: Advances in efficient cell enrichment and precise single cell capture

Design of a robust unified controller for cell manipulation with a robot-aided optical tweezers system

Robotic manipulation of micro/nanoparticles using optical tweezers with velocity constraints and stochastic perturbations

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