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dc.contributor.authorPardo-Martin, Carlos
dc.contributor.authorAllalou, Amin Mohamed
dc.contributor.authorMedina, Jaime
dc.contributor.authorEimon, Peter
dc.contributor.authorWählby, Carolina
dc.contributor.authorYanik, Mehmet Fatih
dc.date.accessioned2014-10-31T13:57:52Z
dc.date.available2014-10-31T13:57:52Z
dc.date.issued2013-02
dc.date.submitted2012-07
dc.identifier.issn2041-1723
dc.identifier.urihttp://hdl.handle.net/1721.1/91248
dc.description.abstractMost gene mutations and biologically active molecules cause complex responses in animals that cannot be predicted by cell culture models. Yet animal studies remain too slow and their analyses are often limited to only a few readouts. Here we demonstrate high-throughput optical projection tomography with micrometre resolution and hyperdimensional screening of entire vertebrates in tens of seconds using a simple fluidic system. Hundreds of independent morphological features and complex phenotypes are automatically captured in three dimensions with unprecedented speed and detail in semitransparent zebrafish larvae. By clustering quantitative phenotypic signatures, we can detect and classify even subtle alterations in many biological processes simultaneously. We term our approach hyperdimensional in vivo phenotyping. To illustrate the power of hyperdimensional in vivo phenotyping, we have analysed the effects of several classes of teratogens on cartilage formation using 200 independent morphological measurements, and identified similarities and differences that correlate well with their known mechanisms of actions in mammals.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH Transformative Research Award (R01 NS073127))en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH (R01 GM095672)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH Director’s New Innovator award (1-DP2-OD002989))en_US
dc.description.sponsorshipHoward Hughes Medical Institute (International Student Fellowship)en_US
dc.description.sponsorshipBroad Institute of MIT and Harvard (SPARC grant)en_US
dc.description.sponsorshipDavid & Lucile Packard Foundation (Award in Science and Engineering)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/ncomms2475en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleHigh-throughput hyperdimensional vertebrate phenotypingen_US
dc.typeArticleen_US
dc.identifier.citationPardo-Martin, Carlos, Amin Allalou, Jaime Medina, Peter M. Eimon, Carolina Wählby, and Mehmet Fatih Yanik. “High-Throughput Hyperdimensional Vertebrate Phenotyping.” Nature Communications 4 (February 12, 2013): 1467.en_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.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.mitauthorPardo-Martin, Carlosen_US
dc.contributor.mitauthorAllalou, Amin Mohameden_US
dc.contributor.mitauthorMedina, Jaimeen_US
dc.contributor.mitauthorEimon, Peteren_US
dc.contributor.mitauthorYanik, Mehmet Fatihen_US
dc.relation.journalNature Communicationsen_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; Allalou, Amin; Medina, Jaime; Eimon, Peter M.; Wählby, Carolina; Fatih Yanik, Mehmeten_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0447-517X
dc.identifier.orcidhttps://orcid.org/0000-0003-4028-8443
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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