findWormz is a user-friendly automated fluorescence quantification method for C. elegans research.

microPublication biology Pub Date : 2025-04-24 eCollection Date: 2025-01-01 DOI:10.17912/micropub.biology.001562
Elizabeth Kitto, John Dean, Scott Leiser
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Abstract

The nematode Caenorhabditis elegans is a powerful model organism for fluorescent imaging studies due to its simplicity, transparency, well-characterized anatomy, and ease of genetic manipulation. However, the scale and statistical power of C. elegans imaging experiments can be limited by the time and effort required to manually quantify fluorescence intensity in individual worms. Recent advances in automated image analysis have used artificial intelligence models and user-supplied training data sets to automate biological image quantification. While these tools have the potential to significantly expedite a variety of research applications in C. elegans and other model organisms, they can be difficult to implement and troubleshoot, particularly for researchers with little or no computational training. Here, we introduce a simple method to automate C. elegans fluorescence quantification that is accessible to users able to install the free program R and edit a single line of code described here.

findWormz是一种用户友好的秀丽隐杆线虫研究自动荧光定量方法。
秀丽隐杆线虫是一种强大的模式生物荧光成像研究,由于其简单,透明,良好的解剖特征,并易于遗传操作。然而,秀丽隐杆线虫成像实验的规模和统计能力可能受到人工量化单个蠕虫荧光强度所需的时间和精力的限制。自动图像分析的最新进展是使用人工智能模型和用户提供的训练数据集来自动进行生物图像量化。虽然这些工具有可能显著加快秀丽隐杆线虫和其他模式生物的各种研究应用,但它们可能难以实施和排除故障,特别是对于很少或没有受过计算训练的研究人员。在这里,我们介绍了一种简单的方法来自动化秀丽隐杆线虫的荧光定量,用户可以安装免费程序R并编辑这里描述的一行代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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