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

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• 作者：Markus Glaß ; ^a ; ^{markus.glass@medizin.uni-halle.de}  ; [Author Vitae] ; Birgit M&ouml ; ller^b  ; [Author Vitae] ; Anne Zirkel^a  ; [Author Vitae] ; Kristin Wä ; chter^a  ; [Author Vitae] ; Stefan Hü ; ttelmaier^a  ; [Author Vitae] ; Stefan Posch^b ; ^{stefan.posch@informatik.uni-halle.de}  ; [Author Vitae]
• 关键词：Scratch assay ; Segmentation ; Level sets ; Texture ; Topology ; SVM
• 刊名：Pattern Recognition
• 出版年：2012
• 期刊代码：100_00313203
• 类别：cp
• 出版时间：September, 2012
• 卷：45
• 期：9
• 页码：3154-3165
• 文件大小：928 K

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.