Ethoscopes: An open platform for high-throughput ethomics

被引：65

作者：

Geissmann, Quentin ^{[1
]}

Rodriguez, Luis Garcia ^{[2
]}

Beckwith, Esteban J. ^{[1
]}

French, Alice S. ^{[1
]}

Jamasb, Arian R. ^{[1
]}

Gilestro, Giorgio F. ^{[1
]}

机构：

[1] Imperial Coll London, Dept Life Sci, London, England

[2] Polygonal Tree Ltd, London, England

来源：

PLOS BIOLOGY | 2017年 / 15卷 / 10期

基金：

欧盟地平线“2020”; 英国生物技术与生命科学研究理事会;

关键词：

EXPERIMENTAL BEHAVIOR GENETICS; DROSOPHILA-MELANOGASTER; SLEEP-DEPRIVATION; ETHANOL;

D O I：

10.1371/journal.pbio.2003026

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

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页数：13

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