Van Camp Bennett T, Zapata Quinn N, Curran Sean P
Leonard Davis School of Gerontology, University of Southern California, Los Angeles, USA.
, Redmond, USA.
Geroscience. 2025 Mar 26. doi: 10.1007/s11357-025-01631-8.
The pace of scientific high-throughput screening for age-related phenotypes requires the need for developing streamlined and efficacious methods of measuring and quantifying physiological outcomes and at a scale that enables adequate statistical power to measure the variation in populations. Here, we introduce Worm Robust Analysis by Computer-Enhanced Recording (WormRACER), a computationally efficient computer vision software capable of extracting six different crawling and swimming metrics from many animals simultaneously, including worm area, worm length, crawling speed, swimming speed, dynamic amplitude, and wave initiation rate (thrashing). Additionally, we developed a web-based portal that provides metric averages and metric vs time graphs that allow for simple data analysis and quality assurance. WormRACER will facilitate the rapid and quantitative characterization of movement as a facile measurement of healthspan enabling power for high-throughput screening of genetic, environmental, and pharmacological interventions.
针对与年龄相关表型的科学高通量筛选步伐,需要开发精简且有效的方法来测量和量化生理结果,且规模要足以具备足够的统计效力来测量群体中的变异。在此,我们引入了通过计算机增强记录进行的蠕虫稳健分析(WormRACER),这是一种计算效率高的计算机视觉软件,能够同时从许多动物中提取六种不同的爬行和游泳指标,包括蠕虫面积、蠕虫长度、爬行速度、游泳速度、动态幅度和波起始率(甩动)。此外,我们开发了一个基于网络的门户,提供指标平均值和指标随时间变化的图表,便于进行简单的数据分析和质量保证。WormRACER将有助于快速且定量地表征运动,作为健康寿命的便捷测量方法,为遗传、环境和药物干预的高通量筛选提供支持。