NDLI: Fluorescent monitoring using microfluidics chip and development of syringe pump for automation of enucleation to automate cloning

Content Provider	IEEE Xplore Digital Library
Author	Ichikawa, Akihiko Tanikawa, Tamio Matsukawa, Kazutsugu Takahashi, Seiya Ohba, Koutaro
Copyright Year	2009
Description	Author affiliation: Advanced Industrial Science and Technology (AIST), Japan (Ichikawa, Akihiko; Tanikawa, Tamio; Ohba, Koutaro) \|\| National Institute of Livestock and Grassland Science (NILGS), Japan (Matsukawa, Kazutsugu; Takahashi, Seiya)
Abstract	We have developed a novel technique for fluorescent monitoring of a bovine oocyte nucleus for an automatic cloning device. Animal cells that have been chemically softened by cytochalasin and stained with Hoechst dye are aspirated into a thin microchannel of a microfluidic chip and stretched thin, allowing the nucleus of the expanded oocyte to be monitored. Half the volume of the oocyte is aspirated into the thin microchannel and a high-velocity fluid flow is generated in the wide microchannel to bisect the oocyte. Then, the half-oocytes are monitored to determine which contains the nucleus. To control flow velocity with high accuracy and rapid response, we also developed a syringe pump that is small, has no backlash, and has highly-accurate volume control and a good response for automatic cutting. In this report, we describe the monitoring method and construction of the syringe pump.
Starting Page	2231
Ending Page	2236
File Size	304254
Page Count	6
File Format	PDF
ISBN	9781424427888
ISSN	10504729
DOI	10.1109/ROBOT.2009.5152814
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fluorescence Computerized monitoring Microfluidics Automation Cloning Microchannel Automatic control Fluid flow control Velocity control Bovine
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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