Paper
25 October 2004 Vision-guided micromanipulation system for biomedical application
Jae-Hong Shim, Sung-Yong Cho, Dong-Hyuk Cha
Author Affiliations +
Abstract
In these days, various researches for biomedical application of robots have been carried out. Particularly, robotic manipulation of the biological cells has been studied by many researchers. Usually, most of the biological cell's shape is sphere. Commercial biological manipulation systems have been utilized the 2-Dimensional images through the optical microscopes only. Moreover, manipulation of the biological cells mainly depends on the subjective viewpoint of an operator. Due to these reasons, there exist lots of problems such as slippery and destruction of the cell membrane and damage of the pipette tip etc. In order to overcome the problems, we have proposed a vision-guided biological cell manipulation system. The newly proposed manipulation system makes use of vision and graphic techniques. Through the proposed procedures, an operator can inject the biological cell scientifically and objectively. Also, the proposed manipulation system can measure the contact force occurred at injection of a biological cell. It can be transmitted a measured force to the operator by the proposed haptic device. Consequently, the proposed manipulation system could safely handle the biological cells without any damage. This paper presents the introduction of our vision-guided manipulation techniques and the concept of the contact force sensing. Through a series of experiments the proposed vision-guided manipulation system shows the possibility of application for precision manipulation of the biological cell such as DNA.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jae-Hong Shim, Sung-Yong Cho, and Dong-Hyuk Cha "Vision-guided micromanipulation system for biomedical application", Proc. SPIE 5604, Optomechatronic Micro/Nano Components, Devices, and Systems, (25 October 2004); https://doi.org/10.1117/12.570976
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Sensors

Haptic technology

3D image processing

Ferroelectric polymers

Image processing

Biomedical optics

Calibration

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