Molecular Biology, Cell Biology and Biochemistry Program, Boston University, Boston, MA, United States.
Department of Biomedical Engineering, Boston University, Boston, MA, United States.
Cereb Cortex. 2024 Oct 3;34(10). doi: 10.1093/cercor/bhae421.
Deciphering the rich repertoire of mouse behavior is crucial for understanding the functions of both the healthy and diseased brain. However, the current landscape lacks effective, affordable, and accessible methods for acquiring such data, especially when employing multiple cameras simultaneously. We have developed REVEALS (Rodent Behavior Multi-Camera Laboratory Acquisition), a graphical user interface for acquiring rodent behavioral data via commonly used USB3 cameras. REVEALS allows for user-friendly control of recording from one or multiple cameras simultaneously while streamlining the data acquisition process, enabling researchers to collect and analyze large datasets efficiently. We release this software package as a stand-alone, open-source framework for researchers to use and modify according to their needs. We describe the details of the graphical user interface implementation, including the camera control software and the video recording functionality. We validate results demonstrating the graphical user interface's stability, reliability, and accuracy for capturing rodent behavior using DeepLabCut in various behavioral tasks. REVEALS can be incorporated into existing DeepLabCut, MoSeq, or other custom pipelines to analyze complex behavior. In summary, REVEALS offers an interface for collecting behavioral data from single or multiple perspectives, which, when combined with deep learning algorithms, enables the scientific community to identify and characterize complex behavioral phenotypes.
解析丰富的小鼠行为模式对于理解健康和患病大脑的功能至关重要。然而，目前缺乏有效、经济实惠且易于使用的方法来获取此类数据，特别是在同时使用多个摄像头时。我们开发了 REVEALS（啮齿动物行为多摄像头实验室采集），这是一个通过常用的 USB3 摄像头获取啮齿动物行为数据的图形用户界面。REVEALS 允许用户友好地控制来自一个或多个摄像头的同时录制，同时简化数据采集过程，使研究人员能够高效地收集和分析大型数据集。我们将此软件包作为一个独立的开源框架发布，供研究人员根据自己的需求使用和修改。我们描述了图形用户界面实现的详细信息，包括摄像头控制软件和视频录制功能。我们验证了结果，证明了使用 DeepLabCut 在各种行为任务中使用图形用户界面捕获啮齿动物行为的稳定性、可靠性和准确性。REVEALS 可以与现有的 DeepLabCut、MoSeq 或其他自定义管道结合使用，以分析复杂行为。总之，REVEALS 提供了一种从单一或多个角度收集行为数据的接口，当与深度学习算法结合使用时，它使科学界能够识别和描述复杂的行为表型。
