Here, we present the use of ethoscopes, which are machines for high-throughput analysis of behavior in Drosophila and other animals. Ethoscopes provide a software and hardware solution that is reproducible and easily scalable. They perform, in real-time, tracking and profiling of behavior by using a supervised machine learning algorithm, are able to deliver behaviorally triggered stimuli to flies in a feedback-loop mode, and are highly customizable and open source. Ethoscopes can be built easily by using 3D printing technology and rely on Raspberry Pi microcomputers and Arduino boards to provide affordable and flexible hardware. All software and construction specifications are available at http://lab.gilest.ro/ethoscope.

在这里，我们介绍了使用ethoscope，这是用于对果蝇和其他动物的行为进行高通量分析的机器。听诊器提供了可重现且易于扩展的软件和硬件解决方案。它们使用有监督的机器学习算法实时执行行为的跟踪和分析，能够以行为反馈方式将行为触发的刺激传递给果蝇，并且具有高度可定制性和开源性。使用3D打印技术可以轻松构建听诊器，并依靠Raspberry Pi微计算机和Arduino板来提供价格合理且灵活的硬件。所有软件和构造规范均可在http://lab.gilest.ro/ethoscope上获得。