Automated trapping, assembly, and sorting with holographic optical tweezers

Department of Chemical Engineering, Yale University New Haven, CT 06511, USA.
Optics Express (Impact Factor: 3.49). 01/2007; 14(26):13095-100. DOI: 10.1364/OE.14.013095
Source: PubMed


We combine real-time feature recognition with holographic optical tweezers to automatically trap, assemble, and sort micron-sized colloidal particles. Closed loop control will enable new applications of optical micromanipulation in biology, medicine, materials science, and possibly quantum computation.

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Available from: Eric Dufresne, Mar 20, 2014
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    • "Optical trap arrays can be generated by several approaches, such as multi-beam interference [5] [14], phase contrast [15] [16] [17] [18], or Talbot self-imaging [19]. Most of the optical trap arrays for optical sorting are generated by holographic methods [20] [21] [22] [23] that use a diffractive optical element in the optical path to transform a single spot trap to the desired trap arrays, namely the holographic optical tweezers (HOT). Obviously, the generation of optical trap arrays is more complicated compared with the traditional single optical tweezers. "
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    ABSTRACT: A novel configuration of dual-channel line optical tweezers with a 'Y' shape is constructed for sorting of particles within a microfluidic chip. When yeast cells with different size pass the intersection of the specially designed line optical tweezers, they are separated and transported to different channels due to a difference in the forces exerted by the line tweezers that depends on the size of the cells. The influences of some experimental conditions, such as laser power and flow velocity, on the sorting efficiency are discussed.
    Full-text · Article · Sep 2012 · Journal of optics
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    • "Cells or other living systems need to be precisely micromanipulated in various applications such as, cell transport [1] [2] [3], sorting or separation [4] [5] [6] [7], estimation of mechanical properties [8], cell-cell interaction [9, 10], etc. Often, gradient centrifugation [11, 12], magnetic activated cell sorting [13], micro-fluidic techniques [14], etc. are utilized in many applications . However, there are two main limitations of these techniques , namely, (1) the need for a large sample size (except micro-fluidic techniques), and (2) they cannot be used for precise manipulation of a given target cell. "
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    ABSTRACT: Precise micromanipulation of cells or other living systems is allowing for cell transport, sorting, characterization of mechanical properties, cell-cell interaction, migration studies, etc. In this paper, we report an automated indirect pushing-based approach for micromanipulation of cells using dielectric silica beads. In this approach, an optically actuated dielectric silica bead pushes on other bead that in turn pushes the cell, thereby minimizing photo-damage. We have defined three parametrized atomic maneuvers namely, push, align, and go behind the intermediate bead and used them to compose a feedback plan for in-direct pushing. We have developed a simplified dynamics model, which is used in the simulation of operations involving pushing of cells using optically trapped beads. We also present an optimization-based approach for automated tuning of maneuver parameters for different turning angles and measurement noise to increase the robustness of the developed feedback planner. Finally, we have tested the developed planner on a physical setup and obtained experimental results.
    Full-text · Conference Paper · Aug 2012
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    • "Currently most of the optical tweezer systems use a mouse or a stand joystick to control the optical trap. While manual manipulation is robust, it cannot be efficiently used for applications that require precise manipulations of large numbers of cells repetitively or coordinated manipulations of multiple optical traps (Chapin et al., 2006). A few works have been done towards the automatic manipulation of optical trapping (Grover et al., 2001; Tanaka et al., 2008; Arai et al., 2009; Banerjee et al., 2010), in which, however , an open-loop control strategy was adopted to move cells along with pre-designed collision-free paths. "
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    ABSTRACT: The positioning of biological cells has become increasingly important in biomedical research such as drug discovery, cell-to-cell interaction, and tissue engineering. Significant demand for both accuracy and productivity in cell manipulation highlights the need for automated cell transportation with integrated robotics and micro/nano-manipulation technologies. Optical tweezers, which use highly focused low-power laser beams to trap and manipulate particles at the micro/nanoscale, can be treated as special robot ‘end-effectors’ to manipulate biological objects in a noninvasive way. In this paper, we propose to use a robot-tweezer manipulation system for automatic transportation of biological cells. A dynamics equation of the cell in an optical trap is analyzed. Closed-loop controllers are designed for positioning single cells as well as multiple cells. A synchronization control technology is utilized for multicell transportation with maintained cell pattern. Experiments are performed on transporting live cells to demonstrate the effectiveness of the proposed approach.
    Preview · Article · Dec 2011 · The International Journal of Robotics Research
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