Emerging biological insights enabled by high-resolution 3D motion data: promises, perspectives and pitfalls

Author:

Provini Pauline123ORCID,Camp Ariel L.4ORCID,Crandell Kristen E.5ORCID

Affiliation:

1. Université Paris Cité, Inserm, System Engineering and Evolution Dynamics 1 , F-75004 Paris , France

2. Learning Planet Institute 2 , F-75004 Paris , France

3. UMR 7179 CNRS/Muséum National d'Histoire Naturelle 3 Département Adaptations du Vivant , , F-75005 Paris , France

4. Institute of Life Course and Medical Sciences, University of Liverpool 4 Department of Musculoskeletal and Ageing Science , , Liverpool L78TX , UK

5. School of Natural Sciences, Bangor University 5 , Gwynedd LL57 2UW , UK

Abstract

ABSTRACT Deconstructing motion to better understand it is a key prerequisite in the field of comparative biomechanics. Since Marey and Muybridge's work, technical constraints have been the largest limitation to motion capture and analysis, which, in turn, limited what kinds of questions biologists could ask or answer. Throughout the history of our field, conceptual leaps and significant technical advances have generally worked hand in hand. Recently, high-resolution, three-dimensional (3D) motion data have become easier to acquire, providing new opportunities for comparative biomechanics. We describe how adding a third dimension of information has fuelled major paradigm shifts, not only leading to a reinterpretation of long-standing scientific questions but also allowing new questions to be asked. In this paper, we highlight recent work published in Journal of Experimental Biology and influenced by these studies, demonstrating the biological breakthroughs made with 3D data. Although amazing opportunities emerge from these technical and conceptual advances, high-resolution data often come with a price. Here, we discuss challenges of 3D data, including low-throughput methodology, costly equipment, low sample sizes, and complex analyses and presentation. Therefore, we propose guidelines for how and when to pursue 3D high-resolution data. We also suggest research areas that are poised for major new biological advances through emerging 3D data collection.

Funder

Bettencourt Schueller Foundation

University of Liverpool

Publisher

The Company of Biologists

Subject

Insect Science,Molecular Biology,Animal Science and Zoology,Aquatic Science,Physiology,Ecology, Evolution, Behavior and Systematics

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