arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1210.4485q-bio.NCq-bio.QM

Leg-tracking and automated behavioral classification in Drosophila

Jamey Kain, Chris Stokes, Quentin Gaudry, Xiangzhi Song, James Foley, Rachel Wilson, Benjamin de Bivort

英文摘要:

Here we present the first method for tracking each leg of a fruit fly behaving spontaneously upon a trackball, in real time. Legs were tracked with infrared-fluorescent dye invisible to the fly, and compatible with two-photon microscopy and controlled visual stimuli. We developed machine learning classifiers to identify instances of numerous behavioral features (e.g. walking, turning, grooming) thus producing the highest resolution ethological profiles for individual flies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑