Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines

被引：21
|
作者：
Glass, Markus [1 ]
Moeller, Birgit [2 ]
Zirkel, Anne
Waechter, Kristin
Huettelmaier, Stefan
Posch, Stefan [2 ]
机构：
[1] Univ Halle Wittenberg, Inst Mol Med, Zentrum Angew Med & Humanbiol Forsch ZAMED, D-06120 Halle, Saale, Germany
[2] Univ Halle Wittenberg, Inst Comp Sci, D-06099 Halle, Saale, Germany
来源：
PATTERN RECOGNITION | 2012年 / 45卷 / 09期
关键词：
Scratch assay; Segmentation; Level sets; Texture; Topology; SVM; TEXTURE; CLASSIFICATION; SEGMENTATION; VALIDATION; PROTEINS; COLOR; TRUTH;
D O I：
10.1016/j.patcog.2012.03.001
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：3154 / 3165
页数：12
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