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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >MobilityAnalyser: A novel approach for automatic quantification of cell mobility on periodic patterned substrates using brightfield microscopy images
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MobilityAnalyser: A novel approach for automatic quantification of cell mobility on periodic patterned substrates using brightfield microscopy images

机译:MobilityAnalyser:使用Brightfield显微镜图像自动定量细胞移动性的新方法

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摘要

Background and objective: Surface topography of biomaterials has been shown to have an effect on cells behaviour. Cell-material interactions can be visually characterized by assessing both cell shape and spreading at initial time-points and, its migration patterns, as a response to the underlying topography. Whilst many have reported the study of cell migration and shape with fluorescence labelling, the focus on evaluating cells response to surface topography is to observe, under real-time conditions, interactions between cells and surfaces. In this manuscript we present a novel approach to automatically detect and remove periodic background patterns in brightfield microscopy images in order to perform automatic cell mobility analysis.
机译:背景和目的:已显示生物材料的表面形貌对细胞行为产生影响。 通过评估细胞形状和在初始时间点的延伸,可以在目视表征细胞 - 材料相互作用,以及其迁移模式作为对底层地形的响应。 虽然许多人报道了通过荧光标记的细胞迁移和形状的研究,但重点在于对表面形貌的评估响应是在实时条件下观察细胞和表面之间的相互作用。 在本手稿中,我们提出了一种新的方法来自动检测和移除明菲尔德显微镜图像中的周期性背景模式,以便执行自动细胞移动性分析。

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