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COUNTCOLORS:一个用于量化冬眠蝙蝠翅膀薄膜上 Pseudogymnoascus destructans 病变所发出荧光的 R 包。

COUNTCOLORS, AN R PACKAGE FOR QUANTIFICATION OF THE FLUORESCENCE EMITTED BY PSEUDOGYMNOASCUS DESTRUCTANS LESIONS ON THE WING MEMBRANES OF HIBERNATING BATS.

机构信息

Department of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, 202 Anheuser-Busch Natural Resource Building, Columbia, Missouri 65211, USA.

Department of Biomedical Sciences, Ross University School of Veterinary Medicine, PO Box 334, Basseterre, St. Kitts, West Indies.

出版信息

J Wildl Dis. 2020 Oct 1;56(4):759-767. doi: 10.7589/2019-09-231.

DOI:10.7589/2019-09-231
PMID:32609601
Abstract

Pseudogymnoascus destructans colonizes the wing membrane of hibernating bats with the potential to form dense fungal hyphae aggregates within cupping erosions. These fungal cupping erosions emit a characteristic fluorescent orange-yellow color when the wing membrane is transilluminated with 385 nm ultraviolet (UV) light. The purpose of this study was to create and validate the R package, countcolors, for quantifying the distinct orange-yellow UV fluorescence in bat-wing membrane lesions caused by P. destructans. Validation of countcolors was completed by first quantifying the percent area of 20, 2.5 cm2 images. These generated images were of two known pixel colors ranging from 0% to 100% of the pixels. The countcolors package accurately measured the known proportion of a given color in each image. Next, 40, 2.5 cm2 sections of UV transilluminated photographs of little brown bat (Myotis lucifugus) wings were given to a single evaluator. The area of fluorescence was both manually measured and calculated using image analysis software and quantified with countcolors. There was good agreement between the two methods (Pearson's correlation=0.915); however, the manual use of imaging software showed a consistent negative bias. Reproducibility of the analysis methods was tested by providing the same images to naive evaluators who previously never used the software; no significant difference (P=0.099) was found among evaluators. Using the R package countcolors takes less time than does manually measuring the fluorescence in image analysis software, and our results showed that countcolors can improve the accuracy when quantifying the area of P. destructans infection in bat wing-membranes.

摘要

假丝酵母菌属破坏者定植于冬眠蝙蝠的翼膜上,在杯状侵蚀中形成密集的真菌菌丝聚集体。当用 385nm 紫外线(UV)光透射翼膜时,这些真菌杯状侵蚀会发出特征性的荧光橙黄色。本研究的目的是创建和验证 R 包 countcolors,用于定量测定 P. destructans 引起的蝙蝠翼膜病变中独特的橙黄色 UV 荧光。通过首先定量测量 20 个、2.5cm2 图像的百分比面积来完成 countcolors 的验证。这些生成的图像是两种已知像素颜色的,范围从 0%到 100%的像素。countcolors 包准确地测量了每个图像中给定颜色的已知比例。接下来,将 40 个、2.5cm2 的小褐蝠(Myotis lucifugus)翅膀 UV 透射照片的部分提供给单个评估者。使用图像分析软件手动测量和计算荧光面积,并使用 countcolors 进行量化。两种方法之间具有良好的一致性(Pearson 相关性=0.915);然而,图像软件的手动使用显示出一致的负偏差。通过向以前从未使用过该软件的新手评估者提供相同的图像来测试分析方法的可重复性;评估者之间没有发现显著差异(P=0.099)。与手动在图像分析软件中测量荧光相比,使用 R 包 countcolors 花费的时间更少,并且我们的结果表明,当定量测定蝙蝠翼膜中 P. destructans 感染的面积时,countcolors 可以提高准确性。

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本文引用的文献

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Multiple mortality events in bats: a global review.蝙蝠的多次死亡事件:一项全球综述。
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