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3D visualization processes for recreating and studying organismal form.
Irschick, Duncan J; Christiansen, Fredrik; Hammerschlag, Neil; Martin, Johnson; Madsen, Peter T; Wyneken, Jeanette; Brooks, Annabelle; Gleiss, Adrian; Fossette, Sabrina; Siler, Cameron; Gamble, Tony; Fish, Frank; Siebert, Ursula; Patel, Jaymin; Xu, Zhan; Kalogerakis, Evangelos; Medina, Joshua; Mukherji, Atreyi; Mandica, Mark; Zotos, Savvas; Detwiler, Jared; Perot, Blair; Lauder, George.
Afiliação
  • Irschick DJ; Department of Biology, 221 Morrill Science Center, University of Massachusetts, Amherst, MA 01003, USA.
  • Christiansen F; Aarhus Institute of Advanced Studies, Høegh-Guldbergs Gade 6B, Aarhus C, Denmark.
  • Hammerschlag N; Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, USA.
  • Martin J; Leonard and Jayne Abess Center for Ecosystem Science and Policy, University of Miami, Coral Gables, FL, USA.
  • Madsen PT; Shark Research and Conservation Program, University of Miami, Miami, FL, USA.
  • Wyneken J; 329 E Main Street, Wilmore, KY 40390, USA.
  • Brooks A; Zoophysiology, Department of Biology, Aarhus University, Aarhus, Denmark.
  • Gleiss A; Aarhus Institute of Advanced Studies, Høegh-Guldbergs Gade 6B, Aarhus C, Denmark.
  • Fossette S; Department of Biological Sciences, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431-0991, USA.
  • Siler C; Cape Eleuthera Institute, PO Box EL-26029, Rock Sound, Eleuthera, The Bahamas.
  • Gamble T; Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia.
  • Fish F; College of Science, Health, Engineering and Education, Murdoch University, 90 South St, Murdoch, WA 6150, Australia.
  • Siebert U; Biodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, 17 Dick Perry Avenue, Kensington, WA 6151, Australia.
  • Patel J; Sam Noble Oklahoma Museum of Natural History and Department of Biology, University of Oklahoma, 2401 Chautauqua Avenue, Norman, OK 73072-7029, USA.
  • Xu Z; Marquette University, Wehr Life Sciences 109, 1428 W. Clybourn Street, Milwaukee, WI 53233, USA.
  • Kalogerakis E; Milwaukee Public Museum, 800 W. Wells Street, Milwaukee, WI 53233, USA.
  • Medina J; Bell Museum of Natural History, University of Minnesota, 1987 Upper Buford Circle, St. Paul, Minnesota 551088, USA.
  • Mukherji A; Department of Biology, West Chester University, West Chester, PA 19383, USA.
  • Mandica M; Institute for Terrestrial and Aquatic Wildlife Research, University of Veterinary Medicine, Hannover, Werftstrasse 6, 25761 Buesum, Germany.
  • Zotos S; Temple University Kornberg School of Dentistry, 3223 North Broad Street Philadelphia, PE 19140, USA.
  • Detwiler J; College of Information and Computer Sciences, University of Massachusetts, 140 Governors Dr., Amherst, MA, USA.
  • Perot B; College of Information and Computer Sciences, University of Massachusetts, 140 Governors Dr., Amherst, MA, USA.
  • Lauder G; Department of Biology, 221 Morrill Science Center, University of Massachusetts, Amherst, MA 01003, USA.
iScience ; 25(9): 104867, 2022 Sep 16.
Article em En | MEDLINE | ID: mdl-36060053
The 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article