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Virtual and augmented reality: New tools for visualizing, analyzing, and communicating complex morphology

  • Robert L. Cieri*
  • , Morgan L. Turner
  • , Ryan M. Carney
  • , Peter L. Falkingham
  • , Alexander M. Kirk
  • , Tobias Wang
  • , Bjarke Jensen
  • , Johannes Novotny
  • , Joshua Tveite
  • , Stephen M. Gatesy
  • , David H. Laidlaw
  • , Howard Kaplan
  • , Antoon F. M. Moorman
  • , Mark Howell
  • , Benjamin Engel
  • , Cole Cruz
  • , Adam Smith
  • , William Gerichs
  • , Yingjie Lian
  • , Johanna T. Schultz
  • C. G. Farmer
*Corresponding author for this work
  • University of Utah
  • University of the Sunshine Coast
  • Brown University
  • University of Minnesota Twin Cities
  • University of South Florida
  • Liverpool John Moores University
  • Aarhus University
  • VRVis Research Center for Virtual Reality and Visualization

Research output: Contribution to journalArticleAcademicpeer-review

75 Downloads (Pure)

Abstract

Virtual and augmented reality (VR/AR) are new technologies with the power to revolutionize the study of morphology. Modern imaging approaches such as computed tomography, laser scanning, and photogrammetry have opened up a new digital world, enabling researchers to share and analyze morphological data electronically and in great detail. Because this digital data exists on a computer screen, however, it can remain difficult to understand and unintuitive to interact with. VR/AR technologies bridge the analog-to-digital divide by presenting 3D data to users in a very similar way to how they would interact with actual anatomy, while also providing a more immersive experience and greater possibilities for exploration. This manuscript describes VR/AR hardware, software, and techniques, and is designed to give practicing morphologists and educators a primer on using these technologies in their research, pedagogy, and communication to a wide variety of audiences. We also include a series of case studies from the presentations and workshop given at the 2019 International Congress of Vertebrate Morphology, and suggest best practices for the use of VR/AR in comparative morphology.
Original languageEnglish
Pages (from-to)1785-1800
Number of pages16
JournalJournal of morphology
Volume282
Issue number12
Early online date2021
DOIs
Publication statusPublished - Dec 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • anatomy
  • collections
  • comparative
  • education
  • visualization

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