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3D visualization processes for recreating and studying organismal form

Authors :
Duncan 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
Source :
iScience, Vol 25, Iss 9, Pp 104867- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Summary: 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.

Details

Language :
English
ISSN :
25890042
Volume :
25
Issue :
9
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.193fa6ead4c6eb40c9c46a8e82d4e
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2022.104867