School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
J Exp Biol. 2023 Nov 1;226(21). doi: 10.1242/jeb.245853. Epub 2023 Nov 3.
Understanding the mechanisms of insect flight requires high-quality data of free-flight kinematics, e.g. for comparative studies or genetic screens. Although recent improvements in high-speed videography allow us to acquire large amounts of free-flight data, a significant bottleneck is automatically extracting accurate body and wing kinematics. Here, we present an experimental system and a hull reconstruction-reprojection algorithm for measuring the flight kinematics of fruit flies. The experimental system can automatically record hundreds of flight events per day. Our algorithm resolves a significant portion of the occlusions in this system by a reconstruction-reprojection scheme that integrates information from all cameras. Wing and body kinematics, including wing deformation, are then extracted from the hulls of the wing boundaries and body. This model-free method is fully automatic, accurate and open source, and can be readily adjusted for different camera configurations or insect species.
理解昆虫飞行的机制需要高质量的自由飞行运动学数据,例如用于比较研究或遗传筛选。尽管高速摄像技术的最新进展允许我们获取大量的自由飞行数据,但一个显著的瓶颈是自动提取准确的身体和翅膀运动学。在这里,我们提出了一个实验系统和一个船体重建-重投影算法,用于测量果蝇的飞行运动学。该实验系统可以自动记录每天数百个飞行事件。我们的算法通过一种重建-重投影方案解决了系统中很大一部分遮挡问题,该方案整合了来自所有摄像机的信息。然后,从翅膀边界和身体的船体中提取翅膀和身体运动学,包括翅膀变形。这种无模型方法是全自动的、准确的和开源的,并且可以很容易地调整适用于不同的摄像机配置或昆虫种类。