Scratch assay analysis with topology-preserving level sets and texture measures

Authors:
Markus Glaß;Birgit Möller;Anne Zirkel;Kristin Wächter;Stefan Hüttelmaier;Stefan Posch
Affiliations:
Zentrum für Angewandte Medizinische und Humanbiologische Forschung, Martin Luther University Halle-Wittenberg, Halle;Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle, Germany;Zentrum für Angewandte Medizinische und Humanbiologische Forschung, Martin Luther University Halle-Wittenberg, Halle;Zentrum für Angewandte Medizinische und Humanbiologische Forschung, Martin Luther University Halle-Wittenberg, Halle;Zentrum für Angewandte Medizinische und Humanbiologische Forschung, Martin Luther University Halle-Wittenberg, Halle;Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle, Germany
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

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Abstract

Scratch assays are widely used for cell motility and migration assessment in biomedical research. However, quantitative data is very often extracted manually. Here, we present a fully automated analysis pipeline for detecting scratch boundaries and measuring areas in scratch assay images based on level set techniques. In particular, non-PDE level sets are extended for topology preservation and applied to entropy data of scratch assay microscope images. Compared to other algorithms our approach, implemented in Java as ImageJ plugin based on the extension package MiToBo, relies on a minimal set of configuration parameters. Experimental evaluations show the high-quality of extracted assay data and their suitability for biomedical investigations.