期刊文献+

视觉伺服控制微机械手的细胞注射研究

Reseach on Cells Micro-Injection Based on Micromanipulator Controled by Vision Serving
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摘要 细胞注射前,利用伺服控制方程计算的误差矩阵对系统进行标定,减小显微视觉系统和机械手系统间的坐标变换误差。系统误差标定后,利用显微镜聚焦—失焦技术获得深度信息,将细胞、负压管和注射针定位到同一平面上,定位误差达到0.3806#m,再结合光学流跟踪法,轨迹误差由(7,13)像素减小(0,1)像素。误差矩阵的应用非常有利于实时控制。利用纳米驱动平台设计微注射泵和负压泵,通过脉冲控制药液注射量的大小,注射泵理论注射量可以达到3.2皮升,负压泵可以安全地吸附住细胞。实验结果表明,利用上述各种技术,可以方便地完成细胞显微注射。 Before cell injected, the error matrix (EM) is calculated from servoing control equation to calibrate injection system, by which the coordinate transform error between vision system and micromanipulator system is minished. After EM is calculated, depth data is obtained using focus-defocus technology of microscope, this depth data can control probe moving to the plane where capillary and cell are focused, the position precision of probe is confined at 0.3806 μm. Integrating Modified Sum of Squared Difference (SSD) method with servoing control equation, the tracking error of micromanipulator is minished from (7, 13) pixels to (0, 1) pixels. The application of EM is favorable to control online. A injection pump and a adsorption pump drived by nano-plafform are designd, which control capacity of injection by impose, when cell is being injected, injection pump can achieve a theory precision about 3.2 pl, adsorption pump can adsorb cell safely and fix cell stably. Our results on experimentation show that cell can be injected easily when these technologies are used.
出处 《装备制造技术》 2007年第4期21-23,26,共4页 Equipment Manufacturing Technology
关键词 显微镜聚焦—失焦 误差矩阵 光学流跟踪 微量注射 Focus-defocus of microscope Error matrix SSD tracking Micro-volume injection
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参考文献8

  • 1Zhang X J, Zapp S, Quate C F, ect. Utrasonic microinjection characterized by integrated micro-optical foeee eneeder [C]. Hilton Head 2004: A Solid-State Sensor, Actuator and Mierosystems Workshop, June6-10, Hilton Head Island, South Carolina, USA, 2004.
  • 2Sun Yun, Nelson B J. Microrobotic cell injection [C]. Proceedings of the 2001 IEEE International Conference on Robotics & Automation Seoul, Korea, May 21-26, 2001:620-625.
  • 3W. Zhao, W.J.Zhang, ect. A Micro Visual Servo System for Biological Cell Manipulation: Overview and New Developments[C]. Seventh International Conferenee on Control, Automation, Roboties And Vision (ICARCV'02),Dec 2002, Singapore,429-434.
  • 4Guangyong Li, Ning Xi. Calibration of A Mieromanipulation System.Pro eedings of the 2002 IEEE/RSJ intl. Conference on Intelligent Robots and Systems EPFL, Lausanne, Switzerland, October 2002, 1742-1747.
  • 5Huang Dagang, Lu Guizhang, ect. Three-Dimensional Calibration of Micro-Manipulator[C]. Proceedings of the 4th World Congress on Intelligent Control and Automation, June 10-14, 2002, Shanghai, P.R.China, 1171-1174.
  • 6Akiko Kawaji, Fumihito Arai, ect. 3D Calibration of Bio-Micromanipulator with Local Illmination[C], Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering Shaw Conference Cneter, Edmonton, Alberta, Canada May 9-12, 1999. 1431-1436.
  • 7席文明,姚斌,王磊,朱剑英.基于实体模型的虚拟微装配视觉伺服研究[J].机械工程学报,2005,41(3):59-63. 被引量:3
  • 8Stephen J R, Vikramaditya B, Nelson B J. Micropositioning of a weakly calibrated microassembly system using coarse-to-fine visual servoing strategies[C]. IEEE Transactions on Electronics Packaging Manufacturing, Vol. 23, No.2 ,April 2000.123-131.

二级参考文献11

  • 1Muhammad A, Choi T S. Shape from focus using multiplayer feed forward neural networks. IEEE Transactions on Image Processing, 2001, 10(11): 1 670- 1 675.
  • 2Soatto S. Observability of shape from focus. In: Proceedings of the 37th IEEE Conference on Decision & Control Tampa, Florida, USA, December 1998:3 251 -3 256.
  • 3Lee S J, Kim K, Kim D H, et al. Multiple magnificationimages based micropositioning for 3D micro assembly. In:Seventh International Conference on Control, Automation,Robotics and Vision, 2002, Singapore.
  • 4Kim D H, Kim K Y, Kim K. A micro manipulation systembased on teleoperation techniques. In: Proceedings of the32nd ISR, 2001.
  • 5Stepheb J R, Vikramaditya B, Nelson B J. Microposition-ing of a weakly calibrated microassembly system usingcoarse-to-fine visual servoing strategies. IEEE Transac-tions on Electronics Packaging Manufacturing, 2000,23(2): 1234131.
  • 6Vikramaditya B, Nelson B J. Visually guided microassem-bly using optical microscopes and active vision techniques.In- Proceedings of the 1997 IEEE International Confer-ence on Robotics and Automation, Albuquergue, NewMexico, 1997. 3 17243 177.
  • 7FatiKow S, Buerkle A,Seyffied J. Automatic control sys-tem of a microrobot-based microassembly station usingcomputer vision. In: SPIE'S International Sympasium onIntelligent System & Advanced Manufacturing Conferenceon Microrobotics and Microassembly, Boston, Massachu-setts, USA, 1999.
  • 8Burkle A, Fatikow S. Computer vision based control sys-tem of a piezoelectric microrobot. In.. Proc. CIMCA, Vi-enna, 1999.
  • 9Ohba K, Carlos J, Ortega P, et al. Hight speed image proc-essing system for tele-micro-operation. In: Proceedings ofthe 2001 IEEE/RSJ International Conference on IntelligentRobots and Systems. Mani, Hawaii, USA, 2001 : 3494354.
  • 10Ohba K, Carlos J, Ortega P, et al. Implementation of real time micro VR camera. Trans. IEE Japan, 2000, 120-E(6):264-271.

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