2004 Fiscal Year Final Research Report Summary
Development of Automated Cell Manipulation System
| Project/Area Number |
14350065
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
機械工作・生産工学
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| Research Institution | IBARAKI UNIVERSITY |
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Principal Investigator |
EDA Hiroshi Ibaraki University, the College of Engineering, Professor, 工学部, 教授 (60007995)
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| Co-Investigator(Kenkyū-buntansha) |
ZHOU Libo Ibaraki University, the College of Engineering, Associate Professor, 工学部, 助教授 (90235705)
SHIMIZU Jun Ibaraki University, the College of Engineering, Lecturer, 工学部, 講師 (40292479)
KAWAKAMI Tatuso Sanyu Precision Ltd., Researcher, 設計部, 研究員
ISHIKAWA Tomohiko Sanyu Precision Ltd., Researcher, 設計部, 研究員
仇 中軍 茨城大学, 理工学研究科・SVBL, 非常勤研究員
QIO Zhongjun Ibaraki University, the Graduate School of Science and Engineering, SVBL, Research Fellower
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| Project Period (FY) |
2002 – 2004
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| Keywords | Micro Manipulation system / Egg cell / Vision sensing / control / Mechanical / Pixel coordinates / Force feedback control / Tool path generation / Shape based pattern matching |
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| Research Abstract |
There are increasing demands of manipulation on bio-cells for cloning and artificial insemination in the fields of animal husbandry, medical science and food supply. However, most commercialized tools are manual or semiautomatic. Manipulation of tiny objects sized at 10〜100μm requires the operators to experience a long time training to implement the tasks, such as holding, penetration, injection and suction, with the aid of a microscope. The operations are tedious and time consuming, yet with very low yield rate. The objective of this research is to develop an automated manipulation system with high performance and repeatability for the biological applications. In this paper, a vision control scheme has been proposed and implemented to steer the movements of the tool arms. The positions of the targets and tools, the paths and speed of the movement are calculated at the pixel coordinate by use of an optical microscope with a CCD (charge-coupled device) image device. This vision control scheme is able to eliminate mechanical inaccuracy including misalignment, hysteresis and drift which normally exist at mechanical stage but are crucial in fine movement control. The pixel coordinate is also commonly shared by multiple tool arms and targeted objects, and essential to achieve smooth cooperative operations. As the result, the great accuracy and repeatability of tool path have been achieved in 2D at a test of following a cycle as small as 3μm in diameter. With an assistance of force/tactile sensor for sensing at third dimension, the system is also able to perform 3D manipulation.
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