Article

Automated trapping, assembly, and sorting with holographic optical tweezers.

Department of Chemical Engineering, Yale University New Haven, CT 06511, USA.
Optics Express (Impact Factor: 3.53). 01/2007; 14(26):13095-100. DOI: 10.1364/OE.14.013095
Source: PubMed

ABSTRACT 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.

0 Bookmarks
 · 
94 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Contactless, sterile and nondestructive separation of microobjects or living cells is demanded in many areas of biology and analytical chemistry, as well as in physics or engineering. Here we demonstrate advanced sorting methods based on the optical forces exerted by travelling interference fringes with tunable periodicity controlled by a spatial light modulator. Besides the sorting of spherical particles we also demonstrate separation of algal cells of different sizes and particles of different shapes. The three presented methods offer simultaneous sorting of more objects in static suspension placed in a Petri dish or on a microscope slide.
    Optics Express 12/2014; 22(24). DOI:10.1364/OE.22.029746 · 3.53 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    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.
    ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference; 08/2012
  • [Show abstract] [Hide abstract]
    ABSTRACT: Biological cell transportation with optical tweezers attracts increasing attention in biomedicine and cell engineering. This paper presents an efficient approach to the transportation of multiple cells into desired formation in complex microenvironments. To prevent from collision with other particles, a sampling-based tree planner is designed to generate a valid trajectory which is tracked by the optically trapped multi-cell formation. In addition, the leader-follower framework is utilized to generate the desired positions and velocities of the cells in formation at each sampling time, and the synchronization control method is used to ensure that the multiple cells maintain the formation constraints during the motion. The dynamics of the optically trapped cells is also considered in the controller design. In this way, the cells can be manipulated to form formations efficiently and safely. Simulations of manipulating optical trapped cells into formation are finally performed to verify the effectiveness of the proposed approach.
    2013 IEEE 13th International Conference on Nanotechnology (IEEE-NANO); 08/2013

Full-text (2 Sources)

Download
16 Downloads
Available from
May 29, 2014

Eric Dufresne