利用活动轮廓跟踪血管网络组装过程中的内皮细胞

B. Montrucchio, F. Lamberti, A. Gamba, G. Serini
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引用次数: 7

摘要

本文提出了一个全面的框架,从体外视频显微镜数据对血管过程进行定量分析。通过遵循基于主动轮廓的方法,我们设计了一种准自动化技术,可以在大视场相差显微镜视频序列中实现高度相互作用的运动内皮细胞(ECs)跟踪。我们的工作的动机是通过统计分析验证模拟ec行为的分析模型的必要性。然而,拟议的框架也可以构成一个宝贵的工具,支持血管化的一般实验研究。我们的跟踪技术已经在实际数据集上得到了广泛的验证,并与手动定义的地面真相进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking endothelial cells during blood vessel networks assembly using active contours
This paper presents a comprehensive framework for quantitative analysis of vascular processes from in-vitro videomicroscopy data. By following an active contours based approach, we designed a quasi-automatic technique enabling highly interacting motile endothelial cells (ECs) tracking in large field of view phase contrast microscopy video sequences. Our work was motivated by the necessity of validating through statistical analysis an analytical model mimicking ECs behavior. However, the proposed framework could also constitute an invaluable tool supporting general experimental studies on vascularization. Our tracking technique has been extensively validated on realistic data-sets by comparison with a manually defined ground-truth.
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