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Design of a robust unified controller for cell manipulation with a robot-aided optical tweezers system. (English) Zbl 1377.93072

Summary: With the advantages of non-physical contact, high precision, and efficiency, optical tweezers have been increasingly used to manipulate biological cells in various biomedical applications. When trapping a cell with optical tweezers, the cell must be located within the optical trap. The lack of an efficient control technique that can automatically control cell motion while consistently locating such cell within the optical trap causes the trapped cell to escape easily, thus resulting in the failure of the manipulation task. Therefore, the development of a unified controller that can manipulate both cell trapping and cell motion simultaneously while possessing robustness to environmental disturbances is urgently needed. In this paper, we develop a novel unified controller that manipulates cell positioning and cell trapping simultaneously. First, we establish a geometric model to confine the cell within a local region around the optical trap. The connection between the cell and the optical tweezers is formulated by using the concept of Cell-Tweezers (C-T) coalition. Second, we develop a controller based on a defined potential field function to drive the C-T coalition to the desired state while avoiding collisions with other obstacles in the environment. Finally, we perform experiments of transferring yeast cells to demonstrate the effectiveness of the proposed approach.

MSC:

93B51 Design techniques (robust design, computer-aided design, etc.)
92C37 Cell biology
93A30 Mathematical modelling of systems (MSC2010)
93C85 Automated systems (robots, etc.) in control theory
93B27 Geometric methods
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[1] Aguilar-Ibanez, C.; Suarez-Castanon, M. S.; Rosas-Soriano, L. I., A simple control scheme for the manipulation of a particle by means of optical tweezers, International Journal of Robust and Nonlinear Control, 21, 3, 328-337 (2010) · Zbl 1211.93052
[2] Applegate, R. W.; Squier, J.; Vestad, T.; Oakey, J., Microfluidic sorting system based on optical waveguide integration and diode laser bar trapping, Lab on a Chip, 6, 422-426 (2006)
[3] Arai, F.; Onda, K.; Iitsuka, R.; Maruyama, H., Multi-beam laser micromanipulation of microtool by integrated optical tweezers, (IEEE Int. Conf. Rob. & Auto. (2009)), 12-17
[4] Ashkin, A., History of optical trapping and manipulation of small-neutral particles, atoms, and molecules, Journal of Quantum Electronics, 6, 841-859 (2000)
[5] Avic, E., Nguyen, C., Ohara, K., Mae, Y., Arai, T., & Gobel, C. (2012). Vibration analysis of microhand for high speed single cell manipulation. In: 2012 Int. Conf. on Mech. and Auto., (pp. 75-80).; Avic, E., Nguyen, C., Ohara, K., Mae, Y., Arai, T., & Gobel, C. (2012). Vibration analysis of microhand for high speed single cell manipulation. In: 2012 Int. Conf. on Mech. and Auto., (pp. 75-80).
[6] Banerjee, A. G.; Chowhury, S.; Losert, W.; Gupta, S. K., Real-time path planning for coordinated transport of multiple particles using optical tweezers, IEEE Transactions Automation Science and Engineering, 9, 4, 669-678 (2012)
[7] Banerjee, A. G.; Gupta, S. K., Research in automated planning and control for micro manipulation, IEEE Transactions on Automation Science and Engineering, 10, 3, 485-495 (2013)
[8] Bergeles, C.; Kratochvil, B. E.; Nelson, B. J., Visually servoing magnetic intraocular microdevices, IEEE Transactions on Robotics, 28, 4, 798-809 (2012)
[9] Boukallel, M.; Gauthier, M.; Dauge, M.; Piat, E.; Abadie, J., Smart microrobots for mechanical cell characterization and cell convoying, IEEE Transactions on Biomedical Engineering, 54, 1536-1540 (2007)
[10] Chapin, S. C.; Germain, V.; Dufresne, E. R., Automated trapping, assembly, and sorting with holographic optical tweezers, Optics Express, 14, 26, 13095-13100 (2006)
[11] Cheah, C. C.; Li, X.; Yan, X.; Sun, D., Observer based optical manipulation of biological cells with robotic tweezers, IEEE Transactions on Robotics, 30, 1, 68-80 (2014)
[12] Chen, H.; Sun, D., Moving groups of microparticles into array with a robot-tweezers manipulation system, IEEE Transactions on Robotics, 28, 5, 1069-1080 (2012)
[13] Chowdhury, S.; Svec, P.; Wang, C.; Seale, K. T.; Wikswo, J. P.; Losert, W.; Gupta, S. K., Automated cell manipulation in optical tweezers-assisted microfluidic chamber, IEEE Transactions on Automation Science and Engineering, 10, 4, 980-989 (2013)
[14] Diller, E.; Giltinan, J.; Sitti, M., Independent control of multiple magnetic microrobots in three dimensions, International Journal of Robotics Research, 32, 5, 614-631 (2013)
[15] Fukuda, T.; Arai, F.; Nakajima, M., Micro-nanorobotic manipulation systems and their application (2013), Springer
[16] Hu, S.; Sun, D., Automatic transportation of biological cells with a robot-tweezer manipulation system, International Journal of Robotics Research, 30, 14, 1681-1694 (2011)
[17] Huang, H.; Sun, D.; Mills, J. K.; Li, W. J.; Cheng, S. H., Visual-based impedance control of out-of-plane cell injection systems, IEEE Transactions on Automation Science and Engineering, 6, 3, 565-571 (2009)
[18] Hochmuth, R. M., Micropipette aspiration of living cells, Journal of Biomechanics, 33, 15-22 (2000)
[19] Ju, T.; Liu, S.; Yang, J.; Sun, D., Rapidly exploring random tree algorithm-based path planning for robot-aided optical manipulation of biological cells, IEEE Transactions on Automation Science and Engineering, 11, 3, 649-657 (2014)
[20] Koss, B.; Chowdhury, S.; Aabo, T.; Gupta, S. K.; Losert, W., Indirect optical gripping with triplet traps, Journal of the Optical Society of America B, 28, 5, 982-985 (2011)
[21] Kummer, M.; Abbott, J. J.; Kratochvil, B. E.; Borer, R.; Sengul, A.; Nelson, B. J., OctoMag: An Electromagnetic System for 5-DOF Wireless Micromanipulation, IEEE Transactions on Robotics, 26, 6, 1006-1017 (2010)
[22] Lee, G. Y.H.; Lim, C. T., Biomechanics approaches to studying human diseases, Trends Biotechnology, 25, 111-118 (2007)
[23] Li, X.; Cheah, C. C.; Hu, S.; Sun, D., Dynamic trapping and manipulation of biological cells with optical tweezers, Automatica, 49, 6, 1614-1625 (2013) · Zbl 1360.93470
[24] Li, X.; Sun, D.; Yang, J., Bounded controller for multirobot navigation while maintaining network connectivity in the presence of obstacles, Automatica, 49, 1, 285-292 (2013) · Zbl 1257.93070
[25] Onal, C.; Ozcan, O.; Sitti, M., Automated 2-D nanoparticle manipulation using atomic force microscopy, IEEE Transactions on Nanotechnology, 10, 3, 472-481 (2011)
[26] Radmacher, M., Measuring the elastic properties of biological samples with the AFM, IEEE Engineering in Medicine and Biology Magazine, 16, 47-57 (1997)
[27] Ramser, K.; Hanstorp, D., Review article: Optical manipulation for single cell studies, Journal of Biophotonics, 3, 4, 187-206 (2009)
[28] Roman, G. T.; Chen, Y.; Viberg, P.; Culbertson, A. H.; Culbertson, C. T., Single-cell manipulation and analysis using microfluidic devices, Analytical and Bioanalytical Chemistry, 387, 9-12 (2007)
[29] Stromberg, A.; Ryttsen, F.; Chiu, D. T.; Davidson, M.; Eriksson, P. S.; Wilson, C. F.; Orwar, O.; Zare, R. N., Manipulating the genetic identity and biochemical surface properties of individual cells with electric-field-induced fusion, Proceedingsof the National Academy of Sciences of the United Statesof America, 97, 7-11 (2000)
[30] Wu, Y.; Sun, D.; Huang, W., Mechanical force characterization in manipulating live cells with optical tweezers, Journal of Biomechanics, 44, 741-746 (2011)
[31] Wu, Y.; Sun, D.; Huang, W.; Xi, N., Dynamics analysis and motionplanning for automated cell transportation with optical tweezers, IEEE/ASME Transactions on Mechatronics, 18, 2 (2013), 7-6-713
[32] Xie, Y.; Sun, D.; Liu, C.; Tse, H. Y.; Cheng, S. H., A force control approach to a robot-assisted cell microinjection system, International Journal of Robotics Research, 29, 9, 1222-1232 (2010)
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