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dc.creatorIrschick, Duncan J.
dc.creatorChristiansen, Fredrik
dc.creatorHammerschlag, Neil
dc.creatorMartin, Johnson
dc.creatorMadsen, Peter T.
dc.creatorWyneken, Jeanette
dc.creatorBrooks, Annabelle
dc.creatorGleiss, Adrian
dc.creatorFossette, Sabrina
dc.creatorSiler, Cameron
dc.creatorGamble, Tony
dc.creatorFish, Frank
dc.creatorSiebert, Ursula
dc.creatorPatel, Jaymin
dc.creatorXu, Zhan
dc.creatorKalogerakis, Evangelos
dc.creatorMedina, Joshua
dc.creatorMukherji, Atreyi
dc.creatorMandica, Mark
dc.creatorZotos, Savvas
dc.creatorDetwiler, Jared
dc.creatorPerot, Blair
dc.creatorLauder, George
dc.date.accessioned2024-03-13T20:23:46Z
dc.date.available2024-03-13T20:23:46Z
dc.date.issued2022-08-31
dc.identifier.citationDuncan J. Irschick, Fredrik Christiansen, Neil Hammerschlag, Johnson Martin, Peter T. Madsen, Jeanette Wyneken, Annabelle Brooks, Adrian Gleiss, Sabrina Fossette, Cameron Siler, Tony Gamble, Frank Fish, Ursula Siebert, Jaymin Patel, Zhan Xu, Evangelos Kalogerakis, Joshua Medina, Atreyi Mukherji, Mark Mandica, Savvas Zotos, Jared Detwiler, Blair Perot, George Lauder, 3D visualization processes for recreating and studying organismal form, iScience, Volume 25, Issue 9, 2022, 104867, ISSN 2589-0042, https://doi.org/10.1016/j.isci.2022.104867.
dc.identifier.issn2589-0042
dc.identifier.urihttp://hdl.handle.net/20.500.12613/9847
dc.description.abstractThe study of biological form is a vital goal of evolutionary biology and functional morphology. We review an emerging set of methods that allow scientists to create and study accurate 3D models of living organisms and animate those models for biomechanical and fluid dynamic analyses. The methods for creating such models include 3D photogrammetry, laser and CT scanning, and 3D software. New multi-camera devices can be used to create accurate 3D models of living animals in the wild and captivity. New websites and virtual reality/augmented reality devices now enable the visualization and sharing of these data. We provide examples of these approaches for animals ranging from large whales to lizards and show applications for several areas: Natural history collections; body condition/scaling, bioinspired robotics, computational fluids dynamics (CFD), machine learning, and education. We provide two datasets to demonstrate the efficacy of CFD and machine learning approaches and conclude with a prospectus.
dc.format.extent17 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofFaculty/ Researcher Works
dc.relation.haspartiScience, Vol. 25, Iss. 9
dc.relation.isreferencedbyCell Press
dc.rightsAttribution-NonCommercial-NoDerivs CC BY-NC-ND
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEcology
dc.subjectBiological sciences
dc.subjectZoology
dc.subjectEvolutionary biology
dc.title3D visualization processes for recreating and studying organismal form
dc.typeText
dc.type.genreJournal article
dc.relation.doihttp://dx.doi.org/10.1016/j.isci.2022.104867
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeKornberg School of Dentistry
dc.temple.creatorPatel, Jaymin
refterms.dateFOA2024-03-13T20:23:46Z


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