Video tracking and analysis of sleep in Drosophila melanogaster
Author(s) -
Giorgio F. Gilestro
Publication year - 2012
Publication title -
nature protocols
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.471
H-Index - 245
eISSN - 1754-2189
pISSN - 1750-2799
DOI - 10.1038/nprot.2012.041
Subject(s) - sleep (system call) , circadian rhythm , drosophila melanogaster , software , computer science , tracking (education) , drosophila (subgenus) , focus (optics) , model organism , real time computing , sleep deprivation , circadian clock , artificial intelligence , biology , neuroscience , psychology , genetics , pedagogy , physics , optics , gene , programming language , operating system
In the past decade, Drosophila has emerged as an ideal model organism for studying the genetic components of sleep as well as its regulation and functions. In fruit flies, sleep can be conveniently estimated by measuring the locomotor activity of the flies using techniques and instruments adapted from the field of circadian behavior. However, proper analysis of sleep requires degrees of spatial and temporal resolution higher than is needed by circadian scientists, as well as different algorithms and software for data analysis. Here I describe how to perform sleep experiments in flies using techniques and software (pySolo and pySolo-Video) previously developed in my laboratory. I focus on computer-assisted video tracking to monitor fly activity. I explain how to plan a sleep analysis experiment that covers the basic aspects of sleep, how to prepare the necessary equipment and how to analyze the data. By using this protocol, a typical sleep analysis experiment can be completed in 5-7 d.
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