Irschick Duncan J, Christiansen Fredrik, Hammerschlag Neil, Martin Johnson, Madsen Peter T, Wyneken Jeanette, Brooks Annabelle, Gleiss Adrian, Fossette Sabrina, Siler Cameron, Gamble Tony, Fish Frank, Siebert Ursula, Patel Jaymin, Xu Zhan, Kalogerakis Evangelos, Medina Joshua, Mukherji Atreyi, Mandica Mark, Zotos Savvas, Detwiler Jared, Perot Blair, Lauder George
Department of Biology, 221 Morrill Science Center, University of Massachusetts, Amherst, MA 01003, USA.
Aarhus Institute of Advanced Studies, Høegh-Guldbergs Gade 6B, Aarhus C, Denmark.
iScience. 2022 Aug 4;25(9):104867. doi: 10.1016/j.isci.2022.104867. eCollection 2022 Sep 16.
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 datasets to demonstrate the efficacy of CFD and machine learning approaches and conclude with a prospectus.
生物形态的研究是进化生物学和功能形态学的一个重要目标。我们回顾了一系列新兴方法,这些方法使科学家能够创建并研究生物体的精确三维模型,并对这些模型进行动画处理,以进行生物力学和流体动力学分析。创建此类模型的方法包括三维摄影测量、激光扫描和CT扫描以及三维软件。新型多相机设备可用于在野外和圈养环境中创建活体动物的精确三维模型。新的网站以及虚拟现实/增强现实设备现在能够实现这些数据的可视化和共享。我们提供了从大型鲸鱼到蜥蜴等各类动物的这些方法的示例,并展示了在几个领域的应用:自然历史收藏;身体状况/比例、仿生机器人技术、计算流体动力学(CFD)、机器学习和教育。我们提供了两个数据集来证明CFD和机器学习方法的有效性,并以一份计划书作为结论。