Alveolus analysis: a web browser-based tool to analyze lung intravital microscopy.
Alveolus analysis: a web browser-based tool to analyze lung intravital microscopy.
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DOI：
10.1186/s12890-022-02274-7
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发表时间：
2022-12-17
影响因子：
3.1
通讯作者：
Belvitch, Patrick
中科院分区：
文献类型：
--
作者：
Politowicz, Alexander L.;Burks, Andrew T.;Dong, Yushen;Htwe, Yu Maw;Dudek, Steven M.;Marai, G. Elisabeta;Belvitch, Patrick
关键词：
急性肺损伤和急性呼吸窘迫综合征的特征是肺部炎症、内皮屏障完整性降低以及肺泡腔被富含蛋白质的水肿液和浸润白细胞填充。动物模型对于揭示这种破坏性综合征的病理机制至关重要。通过双光子活体显微镜对完整肺进行活体成像已被证明是一种通过实时表征炎症细胞和血管变化来研究小型啮齿动物模型肺损伤的有价值的方法。然而，呼吸运动使这些时间序列图像的分析变得复杂，并且需要选择性的数据提取来稳定图像。因此，对单个肺泡的分析可能无法提供完整肺中同时发生的综合机械、血管和炎症过程的完整图像。为了应对这些挑战，我们开发了一个基于网络浏览器的可视化应用程序，名为 Alveolus Analysis，用于处理、分析和以图形方式显示活体肺显微镜数据。 设计的工具以原始时间图像数据作为输入，离线执行图像预处理和特征提取，并在基于网络浏览器的界面中可视化提取的信息。该界面允许用户在对应于不同细节级别的三个面板中探索多个实验：肺泡/中性粒细胞行为的汇总统计、肺泡动态特征（包括特定时间点的肺水肿和炎症细胞）以及交叉实验分析。我们与两名成员或我们的研究团队一起对可视化的实用性进行了案例研究，他们发现该工具很有用，因为它能够一致地预处理数据并以易于理解和信息丰富的格式可视化信息。将我们的软件工具肺泡分析应用于活体肺显微镜数据有可能增强从这些实验中获得的信息，并为炎症性肺损伤的病理机制提供新的见解。在线版本包含可在 10.1186/s12890-022-02274-7 获取的补充材料。
Acute lung injury and the acute respiratory distress syndrome are characterized by pulmonary inflammation, reduced endothelial barrier integrity and filling of the alveolar space with protein rich edema fluid and infiltrating leukocytes. Animal models are critical to uncovering the pathologic mechanisms of this devastating syndrome. Intravital imaging of the intact lung via two-photon intravital microscopy has proven a valuable method to investigate lung injury in small rodent models through characterization of inflammatory cells and vascular changes in real time. However, respiratory motion complicates the analysis of these time series images and requires selective data extraction to stabilize the image. Consequently, analysis of individual alveoli may not provide a complete picture of the integrated mechanical, vascular and inflammatory processes occurring simultaneously in the intact lung. To address these challenges, we developed a web browser-based visualization application named Alveolus Analysis to process, analyze and graphically display intravital lung microscopy data. The designed tool takes raw temporal image data as input, performs image preprocessing and feature extraction offline, and visualizes the extracted information in a web browser-based interface. The interface allows users to explore multiple experiments in three panels corresponding to different levels of detail: summary statistics of alveolar/neutrophil behavior, characterization of alveolar dynamics including lung edema and inflammatory cells at specific time points, and cross-experiment analysis. We performed a case study on the utility of the visualization with two members or our research team and they found the tool useful because of its ability to preprocess data consistently and visualize information in a digestible and informative format. Application of our software tool, Alveolus Analysis, to intravital lung microscopy data has the potential to enhance the information gained from these experiments and provide new insights into the pathologic mechanisms of inflammatory lung injury. The online version contains supplementary material available at 10.1186/s12890-022-02274-7.
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影响因子：
4.3
作者：
Looney MR;Headley MB
通讯作者：
Headley MB
DOI：
10.1109/tvcg.2013.161
发表时间：
2013-12-01
影响因子：
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作者：
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DOI：
10.1109/tvcg.2017.2744459
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影响因子：
5.2
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DOI：
10.1109/tvcg.2018.2817557
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影响因子：
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作者：
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DOI：
10.1124/jpet.109.153544
发表时间：
2009-10-01
影响因子：
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作者：
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