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NETQUANT2:基于网络的荧光显微镜下中性粒细胞胞外诱捕网自动化定量分析

NETQUANT2: automated web-based quantification of neutrophil extracellular traps from fluorescence microscopy.

作者信息

Kumra Ahnlide Johannes, Thelaus Louise, Kahn Fredrik, van Breda Shane, Nordenfelt Pontus

机构信息

Department of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, Lund, Sweden.

Department of Infection Medicine, Skåne University Hospital, Lund, Sweden.

出版信息

Front Immunol. 2024 Dec 4;15:1459933. doi: 10.3389/fimmu.2024.1459933. eCollection 2024.

Abstract

Neutrophil extracellular traps (NETs) are structures that neutrophils form in response to various stimuli, including invading pathogens. NETs are increasingly studied, and their importance has been demonstrated in autoimmunity and infection. However, no consensus has emerged on their quantification, with many studies resorting to manually counting NETs in microscopy images. NETQUANT is a free software for the automated quantification of neutrophil extracellular traps in fluorescence microscopy images. By employing automated image analysis based on biologically relevant criteria for defining NETs, NETQUANT eliminates user bias and reduces analysis time. Despite these advantages, NETQUANT has not reached widespread adoption, partly due to its dependence on proprietary software and challenges associated with local program setup, which has hindered its appeal. Here, we present NETQUANT2, an improved version based on the principles of NETQUANT, released as a web-based software for fast, simple, and unbiased NET quantification from microscopy images. The software guides researchers by displaying relevant morphological data from their sample and allows researchers to interactively configure the analysis, immediately seeing the impact on the result. NETQUANT2 further improves NETQUANT by enabling easy sharing and reusing of configurations and results and enhanced configuration options to handle complex samples better. We believe that the improved accessibility of NETQUANT2 will lead to better reproducibility in NET research and open the field to more researchers while keeping the quality of analysis high.

摘要

中性粒细胞胞外陷阱(NETs)是中性粒细胞在应对包括入侵病原体在内的各种刺激时形成的结构。人们对NETs的研究越来越多,并且它们在自身免疫和感染中的重要性已得到证实。然而,关于它们的定量方法尚未达成共识,许多研究只能依靠在显微镜图像中手动计数NETs。NETQUANT是一款用于自动定量荧光显微镜图像中中性粒细胞胞外陷阱的免费软件。通过基于定义NETs的生物学相关标准进行自动图像分析,NETQUANT消除了用户偏差并减少了分析时间。尽管有这些优点,但NETQUANT尚未得到广泛应用,部分原因是它依赖专有软件以及与本地程序设置相关的挑战,这阻碍了它的吸引力。在此,我们展示NETQUANT2,这是一个基于NETQUANT原理的改进版本,作为基于网络的软件发布,用于从显微镜图像中快速、简单且无偏差地进行NET定量。该软件通过显示样本的相关形态学数据来指导研究人员,并允许研究人员交互式配置分析,即时看到对结果的影响。NETQUANT2通过实现配置和结果的轻松共享与重用以及增强配置选项以更好地处理复杂样本,进一步改进了NETQUANT。我们相信,NETQUANT2更高的可及性将使NET研究具有更好的可重复性,并让更多研究人员能够进入该领域,同时保持较高的分析质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d5a/11652487/add3ed2d031d/fimmu-15-1459933-g001.jpg

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