Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101577
Title: Observer based optical manipulation of biological cells with robotic tweezers
Authors: Li, Xiang
Yan, Xiao
Sun, Dong
Cheah, Chien Chern
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2013
Source: Cheah, C. C., Li, X. Yan, X., & Sun, D. (2013). Observer based optical manipulation of biological cells with robotic tweezers. IEEE transactions on robotics, PP(99), 1-13.
Series/Report no.: IEEE transactions on robotics
Abstract: While several automatic manipulation techniques have recently been developed for optical tweezer systems, the measurement of the velocity of cell is required and the interaction between the cell and the manipulator of laser source is usually ignored in these formulations. Although the position of cell can be measured by using a camera, the velocity of cell is not measurable and usually estimated by differentiating the position of cell, which amplifies noises and may induce chattering of the system. In addition, it is also assumed in existing methods that the image Jacobian matrix from the Cartesian space to image space of the camera is exactly known. In the presence of estimation errors or variations of depth information between the camera and the cell, it is not certain whether the stability of the system could still be ensured. In this paper, vision-based observer techniques are proposed for optical manipulation to estimate the velocity of cell. Using the proposed observer techniques, tracking control strategies are developed to manipulate biological cells with different Reynolds numbers, which do not require camera calibration and measurement of the velocity of cell. The control methods are based on the dynamic formulation where the laser source is controlled by the closed-loop robotic manipulation technique. The stability is analyzed using Lyapunov-like analysis. Simulation and experimental results are presented to illustrate the performance of the proposed cell manipulation methods.
URI: https://hdl.handle.net/10356/101577
http://hdl.handle.net/10220/18714
ISSN: 1552-3098
Rights: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/tro.2013.2289593].
metadata.item.grantfulltext: open
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