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dc.contributor.advisorMehmet Fatih Yanik.en_US
dc.contributor.authorKoo, Bryan Kyoen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2011-04-25T15:52:02Z
dc.date.available2011-04-25T15:52:02Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/62394
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 67-68).en_US
dc.description.abstractThe high-throughput zebrafish screening platform is a revolutionary tool that enables subcellular precision in vivo whole animal screening of Danio Rerio. It can perform laser surgery and/or imaging in less than twenty seconds per fish. This is a two orders of magnitude improvement from the existing manual method, which takes 10 to 15 minutes per fish. The platform also has the ability to rotate the fish in any angle for imaging or laser surgery. There has never been a platform that could align and position a zebrafish consistently and efficiently in such manner before. This crucial functionality was realized through a design in which zebrafish was screened in a capillary tube.en_US
dc.description.statementofresponsibilityby Bryan Kyo Koo.en_US
dc.format.extent68 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleDevelopment and optimization of high-throughput zebrafish screening platformen_US
dc.title.alternativeDevelopment and optimization of high-throughput vertebrae screening platformen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc710365719en_US


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