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首页> 外文期刊>Cytometry, Part A: the journal of the International Society for Analytical Cytology >Untangling cell tracks: Quantifying cell migration by time lapse image data analysis
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Untangling cell tracks: Quantifying cell migration by time lapse image data analysis

机译:解开细胞轨道:量化细胞迁移按时间流逝图像数据分析

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Automated microscopy has given researchers access to great amounts of live cell imaging data from in vitro and in vivo experiments. Much focus has been put on extracting cell tracks from such data using a plethora of segmentation and tracking algorithms, but further analysis is normally required to draw biologically relevant conclusions. Such relevant conclusions may be whether the migration is directed or not, whether the population has homogeneous or heterogeneous migration patterns. This review focuses on the analysis of cell migration data that are extracted from time lapse images. We discuss a range of measures and models used to analyze cell tracks independent of the biological system or the way the tracks were obtained. For single-cell migration, we focus on measures and models giving examples of biological systems where they have been applied, for example, migration of bacteria, fibroblasts, and immune cells. For collective migration, we describe the model systems wound healing, neural crest migration, and Drosophila gastrulation and discuss methods for cell migration within these systems. We also discuss the role of the extracellular matrix and subsequent differences between track analysis in vitro and in vivo. Besides methods and measures, we are putting special focus on the need for openly available data and code, as well as a lack of common vocabulary in cell track analysis. (c) 2017 International Society for Advancement of Cytometry
机译:自动显微镜已经给予研究人员从体外和体内实验中获得大量的活细胞成像数据。使用多种分割和跟踪算法从这些数据中提取了很多焦点,但通常需要进一步分析来吸引生物学相关的结论。这些相关结论可能是迁移是否被引导,是人口是否具有均匀或异质的迁移模式。此述评侧重于分析从时间流逝图像中提取的细胞迁移数据。我们讨论一系列措施和模型,用于分析独立于生物系统的细胞轨道或轨道获得的方式。对于单细胞迁移,我们专注于举办措施和模型,其赋予它们已被应用的生物系统的实例,例如,迁移细菌,成纤维细胞和免疫细胞。对于集体迁移,我们描述了模型系统伤口愈合,神经嵴迁移和果蝇散热,并讨论了这些系统内细胞迁移的方法。我们还讨论了体外和体内轨道分析之间的细胞外基质的作用和随后的差异。除了方法和措施外,我们还专注于对公开可用的数据和代码的需求,以及在细胞轨道分析中缺乏普通词汇。 (c)2017年国际促进细胞计量学会

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