3D visualization processes for recreating and studying organismal form

D.J. Irschick; F. Christiansen; N. Hammerschlag; J. Martin; P. Madsen; J. Wyneken; A. Brooks; A. Gleiss; S. Fossette; C. Siler; T. Gamble; F. Fish; U. Siebert; J. Patel; Z. Xu; E. Kalogerakis; J. Medina; A. Mukherji; M. Mandica; S. Zotos; J. Detwiler; B. Perot; G. Lauder

doi:10.1016/j.isci.2022.104867

Back

3D visualization processes for recreating and studying organismal form

Journal article

Open access

Peer reviewed

3D visualization processes for recreating and studying organismal form

D.J. Irschick, F. Christiansen, N. Hammerschlag, J. Martin, P. Madsen, J. Wyneken, A. Brooks, A. Gleiss, S. Fossette, C. Siler, …

iScience, Vol.25(9), Art. 104867

2022

DOI: https://doi.org/10.1016/j.isci.2022.104867

Files and links (2)

pdf

3D visualization.pdfDownload View

Published (Version of Record) Open Access

url

Free to Read *No subscription requiredView

Abstract

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 data sets to demonstrate the efficacy of CFD and machine learning approaches and conclude with a prospectus.

Details

Title: 3D visualization processes for recreating and studying organismal form
Authors/Creators: D.J. Irschick (Author/Creator)
F. Christiansen (Author/Creator)
N. Hammerschlag (Author/Creator)
J. Martin (Author/Creator)
P. Madsen (Author/Creator)
J. Wyneken (Author/Creator)
A. Brooks (Author/Creator)
A. Gleiss (Author/Creator)
S. Fossette (Author/Creator)
C. Siler (Author/Creator)
T. Gamble (Author/Creator)
F. Fish (Author/Creator)
U. Siebert (Author/Creator)
J. Patel (Author/Creator)
Z. Xu (Author/Creator)
E. Kalogerakis (Author/Creator)
J. Medina (Author/Creator)
A. Mukherji (Author/Creator)
M. Mandica (Author/Creator)
S. Zotos (Author/Creator)
J. Detwiler (Author/Creator)
B. Perot (Author/Creator)
G. Lauder (Author/Creator)
Publication Details: iScience, Vol.25(9), Art. 104867
Publisher: Elsevier
Identifiers: 991005545547807891
Murdoch Affiliation: College of Science, Health, Engineering and Education; Centre for Sustainable Aquatic Ecosystems
Language: English
Resource Type: Journal article

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Metrics

64 File views/ downloads

127 Record Views

23 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration; International collaboration
Citation topics: 7 Engineering & Materials Science; 7.57 Modelling & Simulation; 7.57.1078 Bioinspired Aerodynamics
Web Of Science research areas: Ecology
ESI research areas: Plant & Animal Science