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对地趋性的高分辨率、高通量分析。

High-resolution, high-throughput analysis of geotactic behavior.

作者信息

Canic Tijana, Lopez Juan, Ortiz-Vega Natalie, Zhai R Grace, Syed Sheyum

机构信息

Department of Physics, University of Miami, Coral Gables, FL, USA.

Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL, USA.

出版信息

bioRxiv. 2024 Jun 8:2024.06.07.597941. doi: 10.1101/2024.06.07.597941.

Abstract

innate response to gravity, geotaxis, has been previously used to assess the impact of aging and disease on motor performance. Despite its rich history, fly geotaxis continues to be largely measured manually and assessed through simplistic metrics. The manual nature of this assay introduces substantial experimental variability while simplistic metrics provide limited analytic insights into the behavior. To address these shortcomings, we have constructed a fully automated, programable apparatus, and developed a multi-object tracking software capable of following sub-second movements of individual flies, thus allowing reproducible, detailed, and quantitative analysis of geotactic behavior. The apparatus triggers and monitors geotaxis of 10 fly cohorts simultaneously, with each cohort consisting of up to 7 flies. The tracking program isolates cohorts and records individual fly coordinate outputs allowing for simultaneous multi-group, multi-fly tracks per experiment, greatly improving throughput and resolution. The algorithm tracks individual flies during the entire run with ~97% accuracy, yielding detailed climbing curve, speed, and movement direction with 1/30 second resolution. Our tracking also allows the construction of multi-variable metrics and the detection of transitory movement phenotypes, such as slips and falls, which have thus far been neglected in geotaxis studies due to limited spatio-temporal resolution. Through a combination of automation and robust tracking, the platform is therefore poised to advance geotaxis assay into a comprehensive assessment of locomotor behavior.

摘要

对重力的固有反应,即趋地性,此前已被用于评估衰老和疾病对运动表现的影响。尽管其历史悠久,但果蝇趋地性的测量在很大程度上仍采用人工方式,并通过简单的指标进行评估。这种检测方法的人工性质引入了大量实验变异性,而简单的指标对行为的分析洞察力有限。为了解决这些缺点,我们构建了一种全自动、可编程的仪器,并开发了一种多目标跟踪软件,该软件能够跟踪单个果蝇的亚秒级运动,从而实现对趋地性行为的可重复、详细和定量分析。该仪器可同时触发并监测10个果蝇群体的趋地性,每个群体最多由7只果蝇组成。跟踪程序可分离群体并记录单个果蝇的坐标输出,从而在每个实验中实现同时多组、多果蝇的跟踪,大大提高了通量和分辨率。该算法在整个运行过程中以约97%的准确率跟踪单个果蝇,以1/30秒的分辨率生成详细的攀爬曲线、速度和运动方向。我们的跟踪还允许构建多变量指标,并检测短暂的运动表型,如滑倒和跌倒,由于时空分辨率有限,这些表型在趋地性研究中迄今一直被忽视。因此,通过自动化和强大的跟踪相结合,该平台有望将趋地性检测推进到对运动行为的全面评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1399/11185704/06ccc95da6fd/nihpp-2024.06.07.597941v1-f0001.jpg

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