Automated quantification of Enchytraeus crypticus juveniles in different soil types using RootPainter

IF 6.2 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Bart G. van Hall, Cornelis A.M. van Gestel
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引用次数: 0

Abstract

The manual counting of juveniles in enchytraeid soil toxicity tests is time-consuming, labour-intensive, repetitive, prone to subjectivity, but can potentially be automated through deep learning methods using convolutional neural networks. This study investigated if RootPainter can be used as a tool to automatically quantify Enchytraeus crypticus juveniles in toxicity tests using different soil types. Toxicity tests were performed following OECD guideline 220 using five different pesticides (two fungicides and three insecticides) and four different soil types (three OECD artificial soils and one natural LUFA 2.2 soil). Manual counts were done by three different operators, with each operator counting images for one pesticide. Correlations between automated and manual counts were strong and significant in all four soils for all operators, with Pearson’s correlation coefficients ≥ 0.955 and intraclass comparability coefficients ≥ 0.936. Toxicity values (EC50 and EC10) calculated from the manual and automated counts were within a factor of 0.85 – 1.30. Overall, the results show that RootPainter is a suitable tool for a reliable, repeatable and accurate quantification of enchytraeid juveniles, and can eliminate the time-consuming manual counting process.
利用RootPainter对不同土壤类型隐泥鳅幼体进行自动定量分析。
在蛭形动物土壤毒性测试中,人工计数幼体耗时、劳动密集、重复、容易主观,但可以通过使用卷积神经网络的深度学习方法实现自动化。本研究探讨了RootPainter是否可以作为一种工具,在不同土壤类型的毒性试验中自动量化隐斑Enchytraeus crypticus幼鱼。按照经合组织准则220,使用五种不同的农药(两种杀菌剂和三种杀虫剂)和四种不同的土壤类型(三种经合组织人工土壤和一种天然LUFA 2.2土壤)进行了毒性试验。人工计数由三个不同的操作员完成,每个操作员为一种农药计数图像。在4种土壤中,所有操作人员的自动计数与人工计数之间的相关性都很强且显著,Pearson相关系数≥ 0.955,类内可比性系数≥ 0.936。手动和自动计数计算的毒性值(EC50和EC10)在0.85 - 1.30的因子范围内。总的来说,结果表明RootPainter是一个可靠的、可重复的、准确的内生虫幼体定量工具,可以消除耗时的人工计数过程。
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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来源期刊
CiteScore
12.10
自引率
5.90%
发文量
1234
审稿时长
88 days
期刊介绍: Ecotoxicology and Environmental Safety is a multi-disciplinary journal that focuses on understanding the exposure and effects of environmental contamination on organisms including human health. The scope of the journal covers three main themes. The topics within these themes, indicated below, include (but are not limited to) the following: Ecotoxicology、Environmental Chemistry、Environmental Safety etc.
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