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dc.contributor.authorWang, Pai
dc.contributor.authorSun, Sijie
dc.contributor.authorBertoldi, Katia
dc.contributor.authorWadhwa, Neal
dc.contributor.authorSellon, Jonathan Blake
dc.contributor.authorWei, Donglai
dc.contributor.authorFreeman, Dennis M.
dc.contributor.authorBuyukozturk, Oral
dc.contributor.authorDurand, Frederic
dc.contributor.authorFreeman, William T.
dc.contributor.authorRubinstein, Michael, Ph. D. Massachusetts Institute of Technology
dc.contributor.authorKang, Sung Hoon, 1974-
dc.contributor.authorChen, Justin, Ph. D. Massachusetts Institute of Technology
dc.contributor.authorGhaffari, Roozbeh, 1979-
dc.date.accessioned2018-04-23T19:09:02Z
dc.date.available2018-04-23T19:09:02Z
dc.date.issued2017-10
dc.date.submitted2017-03
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/114895
dc.description.abstractAlthough the human visual system is remarkable at perceiving and interpreting motions, it has limited sensitivity, and we cannot see motions that are smaller than some threshold. Although difficult to visualize, tiny motions below this threshold are important and can reveal physical mechanisms, or be precursors to large motions in the case of mechanical failure. Here, we present a “motion microscope,” a computational tool that quantifies tiny motions in videos and then visualizes them by producing a new video in which the motions are made large enough to see. Three scientific visualizations are shown, spanning macroscopic to nanoscopic length scales. They are the resonant vibrations of a bridge demonstrating simultaneous spatial and temporal modal analysis, micrometer vibrations of a metamaterial demonstrating wave propagation through an elastic matrix with embedded resonating units, and nanometer motions of an extracellular tissue found in the inner ear demonstrating a mechanism of frequency separation in hearing. In these instances, the motion microscope uncovers hidden dynamics over a variety of length scales, leading to the discovery of previously unknown phenomena. Keywords: visualization; motion; image processingen_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant CGV-1111415)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant CGV-1122374)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01-DC00238)en_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/PNAS.1703715114en_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.sourceNational Academy of Sciencesen_US
dc.titleMotion microscopy for visualizing and quantifying small motionsen_US
dc.typeArticleen_US
dc.identifier.citationWadhwa, Neal et al. “Motion Microscopy for Visualizing and Quantifying Small Motions.” Proceedings of the National Academy of Sciences 114, 44 (October 2017): 11639–11644 © 2017 National Academy of Sciencesen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental 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.mitauthorWadhwa, Neal
dc.contributor.mitauthorChen, Justin
dc.contributor.mitauthorSellon, Jonathan Blake
dc.contributor.mitauthorWei, Donglai
dc.contributor.mitauthorGhaffari, Roozbeh
dc.contributor.mitauthorFreeman, Dennis M.
dc.contributor.mitauthorBuyukozturk, Oral
dc.contributor.mitauthorDurand, Frederic
dc.contributor.mitauthorFreeman, William T.
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2018-04-20T14:08:41Z
dspace.orderedauthorsWadhwa, Neal; Chen, Justin G.; Sellon, Jonathan B.; Wei, Donglai; Rubinstein, Michael; Ghaffari, Roozbeh; Freeman, Dennis M.; Büyüköztürk, Oral; Wang, Pai; Sun, Sijie; Kang, Sung Hoon; Bertoldi, Katia; Durand, Frédo; Freeman, William T.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2902-6752
dc.identifier.orcidhttps://orcid.org/0000-0002-2634-6689
dc.identifier.orcidhttps://orcid.org/0000-0003-0622-1333
dc.identifier.orcidhttps://orcid.org/0000-0002-2329-5484
dc.identifier.orcidhttps://orcid.org/0000-0003-3369-5067
dc.identifier.orcidhttps://orcid.org/0000-0001-6309-0910
dc.identifier.orcidhttps://orcid.org/0000-0002-7712-7478
dc.identifier.orcidhttps://orcid.org/0000-0001-9919-069X
dc.identifier.orcidhttps://orcid.org/0000-0002-2231-7995
dspace.mitauthor.errortrue
mit.licensePUBLISHER_POLICYen_US


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