论文标题
秀丽隐杆线虫的头部和尾部定位
Head and Tail Localization of C. elegans
论文作者
论文摘要
秀丽隐杆线虫通常用于神经科学进行行为分析，因为它具有良好描述的连通性的紧凑神经系统。将动物定位并区分其头部和尾部是在行为测定过程中跟踪蠕虫并进行定量分析的重要任务。我们展示了一种基于神经网络的方法，可以将图像中的蠕虫的头部和尾部定位。为了在论文中取得经验结果，并促进基于开源机器学习的解决方案，用于秀丽隐杆线虫的行为分析，我们还可以公开使用代码。
C. elegans is commonly used in neuroscience for behaviour analysis because of it's compact nervous system with well-described connectivity. Localizing the animal and distinguishing between its head and tail are important tasks to track the worm during behavioural assays and to perform quantitative analyses. We demonstrate a neural network based approach to localize both the head and the tail of the worm in an image. To make empirical results in the paper reproducible and promote open source machine learning based solutions for C. elegans behavioural analysis, we also make our code publicly available.
