ArticleThe Journal of experimental biology2023
Emerging biological insights enabled by high-resolution 3D motion data: promises, perspectives and pitfalls.
Article in The Journal of experimental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Behavior Decoding Delineates Seizure Microfeatures and Associated Sudden Death Risks in Mouse Models of Epilepsy.Annals of neurology · 2026Article
- A simple method for rapid reconstruction of 3D animal trajectory from monocular video.Movement ecology · 2025Article
- Characterizing tongue deformations during mastication using changes in planar components of three-dimensional angles.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- A hull reconstruction-reprojection method for pose estimation of free-flying fruit flies.The Journal of experimental biology · 2023Article
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Authors and funding
3 authors.
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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.
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Registered trials
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