Neurocure Cluster of Excellence, Humboldt Universität zu Berlin, Germany; Berlin School of Mind and Brain, Humboldt Universität zu Berlin 10099, Germany.
Neurocure Cluster of Excellence, Humboldt Universität zu Berlin , Germany.
eNeuro. 2017 Feb 20;4(1). doi: 10.1523/ENEURO.0245-16.2017. eCollection 2017 Jan-Feb.
Here, we describe an automated optical method for tracking animal behavior in both head-fixed and freely moving animals, in real time and offline. It takes advantage of an off-the-shelf camera system, the Pixy camera, designed as a fast vision sensor for robotics that uses a color-based filtering algorithm at 50 Hz to track objects. Using customized software, we demonstrate the versatility of our approach by first tracking the rostro-caudal motion of individual adjacent row (D1, D2) or arc whiskers (β, γ), or a single whisker and points on the whisker pad, in head-fixed mice performing a tactile task. Next, we acquired high-speed video and Pixy data simultaneously and applied the pixy-based real-time tracking to high-speed video data. With this approach, we expand the temporal resolution of the Pixy camera and track motion () at the limit of high-speed video frame rates. Finally, we show that this system is flexible: it can be used to track individual whisker or limb position without any sophisticated object tracking algorithm, it can be used in many lighting conditions including infrared (IR); it can be used to track head rotation and location of multiple animals simultaneously. Our system makes behavioral monitoring possible in virtually any biological setting.
在这里,我们描述了一种用于实时和离线跟踪固定头部和自由移动动物行为的自动化光学方法。它利用了现成的相机系统 Pixy 相机,该相机设计为用于机器人的快速视觉传感器,它使用基于颜色的过滤算法以 50 Hz 的速度跟踪物体。使用定制软件,我们通过首先跟踪执行触觉任务的固定头部小鼠中单个相邻行(D1、D2)或弧形胡须(β、γ)或单个胡须和胡须垫上的点的头尾运动,展示了我们方法的多功能性。接下来,我们同时获取高速视频和 Pixy 数据,并将基于 Pixy 的实时跟踪应用于高速视频数据。通过这种方法,我们扩展了 Pixy 相机的时间分辨率,并以高速视频帧速率的极限跟踪运动()。最后,我们表明该系统具有灵活性:它可以用于跟踪单个胡须或肢体位置,而无需任何复杂的物体跟踪算法,它可以在许多照明条件下使用,包括红外(IR);它可以用于同时跟踪多个动物的头部旋转和位置。我们的系统使得在几乎任何生物环境中都可以进行行为监测。