Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines
Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines
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DOI：
10.1016/j.patcog.2012.03.001
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发表时间：
2012-09-01
影响因子：
8
通讯作者：
Posch, Stefan
中科院分区：
文献类型：
--
作者：
Glass, Markus;Moeller, Birgit;Posch, Stefan
细胞迁移评估通常通过划痕测定实验进行，对于划痕测定实验，通常手动进行定量评价。在这里，我们提出了一个自动分析管道检测划痕边界和测量区域的基础上水平集。我们扩展了非PDE水平集的拓扑保护和使用基于熵的能量泛函。这种方法通过设计在每个图像中分割划痕，因此，我们采用支持向量机来识别图像显示没有划痕。与其他算法相比，我们的方法，实现为ImageJ插件，依赖于一组最小的参数。实验评价表明，高质量的结果和它们的生物医学调查的适用性。(C)2012爱思唯尔有限公司保留所有权利。
Cell migration assessment is often done by scratch assay experiments for which quantitative evaluations are usually performed manually. Here we present an automatic analysis pipeline detecting scratch boundaries and measuring areas based on level sets. We extend non-PDE level sets for topology-preservation and use an entropy-based energy functional. This approach by design segments a scratch in every image, hence, we employ support vector machines to identify images showing no scratch at all. Compared to other algorithms our approach, implemented as ImageJ plugin, relies on a minimal set of parameters. Experimental evaluations show the high quality of results and their suitability for biomedical investigations. (C) 2012 Elsevier Ltd. All rights reserved.