@article {Geissmann113647, author = {Quentin Geissmann and Luis Garcia Rodriguez and Esteban J. Beckwith and Alice S. French and Arian R. Jamasb and Giorgio F. Gilestro}, title = {Ethoscopes: an open platform for high-throughput ethomics}, elocation-id = {113647}, year = {2017}, doi = {10.1101/113647}, publisher = {Cold Spring Harbor Laboratory}, abstract = {We present ethoscopes, machines for high-throughput ethomics in Drosophila and other animals. Ethoscopes present four unique features: they provide a software and hardware solution that is reproducible and easily scalable; they perform not just real-time tracking, but faithful real-time profiling of behaviour using a supervised machine learning algorithm; they can stimulate flies in a feedback-loop mode; they are highly customisable and open source. Ethoscopes can be easily built using 3D printing technology and they rely on Raspberry Pi and Arduino to provide affordable and flexible hardware.}, URL = {https://www.biorxiv.org/content/early/2017/04/02/113647}, eprint = {https://www.biorxiv.org/content/early/2017/04/02/113647.full.pdf}, journal = {bioRxiv} }