• Title/Summary/Keyword: nano-biomanipulation

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State-of-the Art Review in Nano-Biomanipulation Technologies (나노-바이오 매니퓰레이션 기술의 현황 및 전망)

  • Kim Deok-Ho;Kim Byungkyu;Park Jong-Oh;Ju Byeong-Kwon
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.4
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    • pp.353-362
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    • 2005
  • This article describes a state-of-the art review in nano-biomanipulation technologies. Nanomanipulation of biological objects enables an in-depth study of single molecules such as DNA and RNA, and of biophysical events at the molecular level like molecular motors. Controlled nanomanipulation is challenging but essential for precisely engineering biomolecules or cells and for manufacturing functional nano-biosystems. In this paper, we summarize several contact, non-contact and hybrid methods available for nanomanipulation of biological objects. Advantages currently available methods and their limitations are also compared. Finally, we discuss possible applications of nano-biomanipulation technologies to life science and molecular medicine including cell biology, genetic engineering, biophysics, and biochemistry.

A Vision Based Bio-Cell Recognition for Biomanipulation with Multiple Views

  • Jang, Min-Soo;Lee, Seok-Joo;Lee, Ho-Dong;Kim, Byung-Kyu;Park, Jong-Oh;Park, Gwi-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2435-2440
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    • 2003
  • Manipulation of the nano/micro scale object has been a key technology in biology as the sizes of DNA, chromosome, nucleus, cell and embryo are within such order. For instance, for embryo cell manipulation, the cell injection is performed manually. The operator often spends over a year to carry out a cell manipulation project. Since the typical success rate of such operation is extremely low, automation of such biological cell manipulation has been asked. As the operator spends most of his time in finding the position of cell in the Petri dish and in injecting bio-material to the cell from the best orientation. In this paper, we propose a new strategy and a vision system, by which one can find, recognize and track nucleus, polar body, and zona pellucida of the embryo cell for automatic biomanipulation. The deformable template matching algorithm has been used in recognizing the nucleus and polar body of each cell. Result suggests that it outperforms the conventional methods.

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