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Emerging biological insights enabled by high-resolution 3D motion data: promises, perspectives and pitfalls. / Provini, Pauline; Camp, Ariel L.; Crandell, Kristen.
In: Journal of Experimental Biology, Vol. 226, No. Suppl_1, jeb245138, 25.04.2023.

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Provini P, Camp AL, Crandell K. Emerging biological insights enabled by high-resolution 3D motion data: promises, perspectives and pitfalls. Journal of Experimental Biology. 2023 Apr 25;226(Suppl_1):jeb245138. Epub 2023 Feb 8. doi: 10.1242/jeb.245138

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Provini, Pauline ; Camp, Ariel L. ; Crandell, Kristen. / Emerging biological insights enabled by high-resolution 3D motion data : promises, perspectives and pitfalls. In: Journal of Experimental Biology. 2023 ; Vol. 226, No. Suppl_1.

RIS

TY - JOUR

T1 - Emerging biological insights enabled by high-resolution 3D motion data

T2 - promises, perspectives and pitfalls

AU - Provini, Pauline

AU - Camp, Ariel L.

AU - Crandell, Kristen

N1 - © 2023. Published by The Company of Biologists Ltd.

PY - 2023/4/25

Y1 - 2023/4/25

N2 - 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.

AB - 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.

U2 - 10.1242/jeb.245138

DO - 10.1242/jeb.245138

M3 - Article

C2 - 36752301

VL - 226

JO - Journal of Experimental Biology

JF - Journal of Experimental Biology

SN - 0022-0949

IS - Suppl_1

M1 - jeb245138

ER -