arxiv:1210.4485

Leg-tracking and automated behavioral classification in Drosophila

Published on Oct 16, 2012

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Abstract

A method for real-time tracking of fruit fly leg movements using infrared dye and machine learning classifiers provides high-resolution behavioral analysis.

AI-generated summary

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.

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