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行为观察镜:一个用于高通量行为组学的开放平台。

Ethoscopes: An open platform for high-throughput ethomics.

作者信息

Geissmann Quentin, Garcia Rodriguez Luis, Beckwith Esteban J, French Alice S, Jamasb Arian R, Gilestro Giorgio F

机构信息

Department of Life Sciences, Imperial College London, London, United Kingdom.

Polygonal Tree Limited, London, United Kingdom.

出版信息

PLoS Biol. 2017 Oct 19;15(10):e2003026. doi: 10.1371/journal.pbio.2003026. eCollection 2017 Oct.

Abstract

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.

摘要

在此,我们介绍行为观察镜的使用,它是用于对果蝇和其他动物的行为进行高通量分析的机器。行为观察镜提供了一种可重复且易于扩展的软件和硬件解决方案。它们通过使用监督机器学习算法实时执行行为跟踪和分析,能够以反馈回路模式向果蝇提供行为触发刺激,并且具有高度可定制性和开源性。行为观察镜可以使用3D打印技术轻松构建,并依靠树莓派微型计算机和 Arduino 板提供经济实惠且灵活的硬件。所有软件和构建规范可在http://lab.gilest.ro/ethoscope获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c152/5648103/acd6eacf714c/pbio.2003026.g001.jpg

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