Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, 1 Roosevelt Road, Section 4, Taipei, Taiwan.
J Neurosci Methods. 2011 Sep 30;201(1):116-23. doi: 10.1016/j.jneumeth.2011.07.019. Epub 2011 Aug 3.
We herein introduce an automated three-dimensional (3D) locomotion tracking and pose reconstruction system for rodents with superior robustness, rapidity, reliability, resolution, simplicity, and cost. An off-the-shelf composite infrared (IR) range camera was adopted to grab high-resolution depth images (640×480×2048 pixels at 20Hz) in our system for automated behavior analysis. For the inherent 3D structure of the depth images, we developed a compact algorithm to reconstruct the locomotion and body behavior with superior temporal and solid spatial resolution. Since the range camera operates in the IR spectrum, interference from the visible light spectrum did not affect the tracking performance. The accuracy of our system was 98.1±3.2%. We also validated the system, which yielded strong correlation with automated and manual tracking. Meanwhile, the system replicates a detailed dynamic rat model in virtual space, which demonstrates the movements of the extremities of the body and locomotion in detail on varied terrain.
我们在此引入了一种用于啮齿动物的自动化三维(3D)运动跟踪和姿势重建系统,该系统具有卓越的鲁棒性、快速性、可靠性、分辨率、简单性和经济性。我们的系统采用了现成的复合红外(IR)距离相机来抓取高分辨率深度图像(640×480×2048 像素,20Hz),用于自动化行为分析。对于深度图像固有的 3D 结构,我们开发了一种紧凑的算法,以具有卓越的时间和空间分辨率来重建运动和身体行为。由于距离相机在 IR 光谱中运行,可见光光谱的干扰不会影响跟踪性能。我们系统的准确性为 98.1±3.2%。我们还验证了该系统,其与自动和手动跟踪具有很强的相关性。同时,该系统在虚拟空间中复制了一个详细的动态大鼠模型,详细展示了身体四肢的运动和在不同地形上的运动。