anTraX, a software package for high-throughput video tracking of color-tagged insects.
anTraX, a software package for high-throughput video tracking of color-tagged insects.
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DOI：
10.7554/elife.58145
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发表时间：
2020-11-19
期刊：
影响因子：
7.7
通讯作者：
Kronauer DJ
中科院分区：
文献类型：
--
作者：
Gal A;Saragosti J;Kronauer DJ
近年来，追踪和分析动物行为的方法激增。然而，追踪密切互动的群居生物体中的个体仍然是一个挑战。在这里，我们展示了 anTraX，一种用于对颜色标记昆虫进行高通量视频跟踪的算法和软件包。 anTraX 将动物的神经网络分类与一种将跟踪数据表示为图表的新颖方法相结合，即使在难以区分动物或标签模糊的情况下也能实现个体跟踪。颜色标签是一种成熟且可靠的方法，用于标记群体中的个体昆虫，它的使用放宽了对图像尺寸和质量的要求，并使该软件具有广泛的适用性。 anTraX 很容易集成到现有的工具和方法中，用于对行为进行自动图像分析，以进一步增强其输出。 anTraX 可以在最少的人类参与下处理大规模实验，使研究人员能够长时间同时监测许多社会群体。
Recent years have seen a surge in methods to track and analyze animal behavior. Nevertheless, tracking individuals in closely interacting, group-living organisms remains a challenge. Here, we present anTraX, an algorithm and software package for high-throughput video tracking of color-tagged insects. anTraX combines neural network classification of animals with a novel approach for representing tracking data as a graph, enabling individual tracking even in cases where it is difficult to segment animals from one another, or where tags are obscured. The use of color tags, a well-established and robust method for marking individual insects in groups, relaxes requirements for image size and quality, and makes the software broadly applicable. anTraX is readily integrated into existing tools and methods for automated image analysis of behavior to further augment its output. anTraX can handle large-scale experiments with minimal human involvement, allowing researchers to simultaneously monitor many social groups over long time periods.