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dc.contributor.authorPardo-Martin, Carlos
dc.contributor.authorChang, Tsung-Yao
dc.contributor.authorKoo, Bryan Kyo
dc.contributor.authorGilleland, Cody Lee
dc.contributor.authorWasserman, Steven Charles
dc.contributor.authorYanik, Mehmet Fatih
dc.date.accessioned2012-10-04T16:15:36Z
dc.date.available2012-10-04T16:15:36Z
dc.date.issued2010-07
dc.date.submitted2010-01
dc.identifier.issn1548-7091
dc.identifier.issn1548-7105
dc.identifier.urihttp://hdl.handle.net/1721.1/73602
dc.description.abstractWe demonstrate a high-throughput platform for cellular-resolution in vivo chemical and genetic screens on zebrafish larvae. The system automatically loads zebrafish from reservoirs or multiwell plates, and positions and rotates them for high-speed confocal imaging and laser manipulation of both superficial and deep organs within 19 s without damage. We performed small-scale test screening of retinal axon guidance mutants and neuronal regeneration assays in combination with femtosecond laser microsurgery.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Director’s Innovator Award 1-DP2-OD002989–01)en_US
dc.description.sponsorshipDavid & Lucile Packard Foundation (Award in Science and Engineering)en_US
dc.description.sponsorshipAlfred P. Sloan Foundation (Award)en_US
dc.description.sponsorshipBroad Institute of MIT and Harvard (Sparc Grant)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Fellowship)en_US
dc.description.sponsorshipFoxconn (Sponsorship)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nmeth.1481en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourcePubMed Centralen_US
dc.titleHigh-throughput in vivo vertebrate screeningen_US
dc.typeArticleen_US
dc.identifier.citationPardo-Martin, Carlos et al. “High-throughput in Vivo Vertebrate Screening.” Nature Methods 7.8 (2010): 634–636.en_US
dc.contributor.departmentmove to dc.description.sponsorshipen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorPardo-Martin, Carlos
dc.contributor.mitauthorChang, Tsung-Yao
dc.contributor.mitauthorKoo, Bryan Kyo
dc.contributor.mitauthorGilleland, Cody Lee
dc.contributor.mitauthorWasserman, Steven Charles
dc.contributor.mitauthorYanik, Mehmet Fatih
dc.relation.journalNature Methodsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsPardo-Martin, Carlos; Chang, Tsung-Yao; Koo, Bryan Kyo; Gilleland, Cody L; Wasserman, Steven C; Yanik, Mehmet Fatihen
dc.identifier.orcidhttps://orcid.org/0000-0002-5866-4606
dc.identifier.orcidhttps://orcid.org/0000-0002-4612-1962
mit.licenseOPEN_ACCESS_POLICYen_US


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