论文标题
Celeganser：线虫形态和年龄的自动分析
Celeganser: Automated Analysis of Nematode Morphology and Age
论文作者
论文摘要
线虫秀丽隐杆线虫（秀丽隐杆线虫）在各种生物学研究中都是重要的模型生物。在本文中，我们介绍了一条用于对秀丽隐杆线虫图像的自动分析的管道，目的是研究生命跨度，健康跨度和衰老的潜在遗传决定因素。我们的系统检测和段蠕虫，并预测蠕虫内每个像素位置的身体坐标。这些坐标提供了各个动物之间密集的对应关系，以进行有意义的比较分析。我们表明，预先训练的模型可以执行身体坐标回归提取物丰富的特征，可用于以高精度预测单个蠕虫的年龄。这为未来的研究奠定了基础，以量化器官生理和生化状态以及个体生活/健康跨度之间的关系。
The nematode Caenorhabditis elegans (C. elegans) serves as an important model organism in a wide variety of biological studies. In this paper we introduce a pipeline for automated analysis of C. elegans imagery for the purpose of studying life-span, health-span and the underlying genetic determinants of aging. Our system detects and segments the worm, and predicts body coordinates at each pixel location inside the worm. These coordinates provide dense correspondence across individual animals to allow for meaningful comparative analysis. We show that a model pre-trained to perform body-coordinate regression extracts rich features that can be used to predict the age of individual worms with high accuracy. This lays the ground for future research in quantifying the relation between organs' physiologic and biochemical state, and individual life/health-span.
