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Fast, automated measurement of nematode swimming (thrashing) without morphometry

机译:快速自动测量线虫游泳((撞),无需形态学

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摘要

BackgroundThe "thrashing assay", in which nematodes are placed in liquid and the frequency of lateral swimming ("thrashing") movements estimated, is a well-established method for measuring motility in the genetic model organism Caenorhabditis elegans as well as in parasitic nematodes. It is used as an index of the effects of drugs, chemicals or mutations on motility and has proved useful in identifying mutants affecting behaviour. However, the method is laborious, subject to experimenter error, and therefore does not permit high-throughput applications. Existing automation methods usually involve analysis of worm shape, but this is computationally demanding and error-prone. Here we present a novel, robust and rapid method of automatically counting the thrashing frequency of worms that avoids morphometry but nonetheless gives a direct measure of thrashing frequency. Our method uses principal components analysis to remove the background, followed by computation of a covariance matrix of the remaining image frames from which the interval between statistically-similar frames is estimated.
机译:背景技术将线虫置于液体中并估计侧向游泳的频率(“颠簸”)运动的“颠簸测定法”是一种在遗传模型生物秀丽隐杆线虫(Caenorhabditis elegans)以及寄生线虫中测量运动性的公认方法。它被用作药物,化学物质或突变对运动的影响的指标,并已被证明可用于识别影响行为的突变体。但是,该方法比较费力,容易出现实验人员错误,因此不允许高通量应用。现有的自动化方法通常涉及蠕虫形状的分析,但这在计算上要求很高并且容易出错。在这里,我们提出了一种新颖,可靠,快速的自动计算蠕虫蠕动频率的方法,该方法避免了形态分析,但是可以直接测量蠕动频率。我们的方法使用主成分分析来去除背景,然后计算剩余图像帧的协方差矩阵,据此可以估算出统计相似帧之间的间隔。

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