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基于免疫荧光显微镜的中性粒细胞胞外陷阱(NET)定量方法比较:手工计数、半自动和自动评估。

Comparison of NET quantification methods based on immunofluorescence microscopy: Hand-counting, semi-automated and automated evaluations.

作者信息

Henneck Timo, Krüger Christina, Nerlich Andreas, Langer Melissa, Fingerhut Leonie, Bonilla Marta C, Meurer Marita, von den Berg Sönke, de Buhr Nicole, Branitzki-Heinemann Katja, von Köckritz-Blickwede Maren

机构信息

Institute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.

Institute for Microbiology, University of Veterinary Medicine Hannover, Foundation, 30173, Hannover, Germany.

出版信息

Heliyon. 2023 Jun 3;9(6):e16982. doi: 10.1016/j.heliyon.2023.e16982. eCollection 2023 Jun.

Abstract

Formation of neutrophil extracellular traps was first described in 2004, showing that NETs are composed of decondensed chromatin fibers and nuclear and granule components. Free DNA is often used to quantify NETs, but to differentiate NETosis from necrotic DNA-release, immunofluorescence microscopy with NET-specific markers is required. Although evaluation by hand is time-consuming and difficult to standardize, it is still widespread. Unfortunately, no standardized method and only limited software tools are available for NET evaluation. This study provides an overview of recent techniques in use and aims to compare two published computer-based methods with hand counting. We found that the selected semi-automated quantification method and fully automated quantification via NETQUANT differed significantly from results obtained by hand and exhibited problems in detection of complex NET structures with partially illogical results. In contrast to that, trained persons were able to adapt to varying settings. Future approaches aimed at developing deep-learning algorithms for fast and reproducible quantification of NETs are needed.

摘要

中性粒细胞胞外陷阱的形成于2004年首次被描述,表明中性粒细胞胞外陷阱由解聚的染色质纤维以及细胞核和颗粒成分组成。游离DNA常被用于定量中性粒细胞胞外陷阱,但为了区分中性粒细胞胞外诱捕作用与坏死性DNA释放,需要使用中性粒细胞胞外陷阱特异性标记物进行免疫荧光显微镜检查。尽管人工评估耗时且难以标准化,但它仍然广泛使用。不幸的是,目前尚无标准化方法,仅有有限的软件工具可用于中性粒细胞胞外陷阱评估。本研究概述了目前使用的最新技术,旨在将两种已发表的基于计算机的方法与人工计数进行比较。我们发现,所选的半自动定量方法和通过NETQUANT进行的全自动定量与人工计数结果有显著差异,并且在检测复杂的中性粒细胞胞外陷阱结构时存在问题,结果部分不合逻辑。相比之下,训练有素的人员能够适应不同的设置。未来需要开发深度学习算法,以实现对中性粒细胞胞外陷阱的快速且可重复的定量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975b/10361044/403df335beb7/gr1.jpg

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