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.
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Glaß, M., Möller, B., Zirkel, A., Wächter, K., Hüttelmaier, S., Posch, S. (2011). Scratch Assay Analysis with Topology-Preserving Level Sets and Texture Measures. In: Vitrià, J., Sanches, J.M., Hernández, M. (eds) Pattern Recognition and Image Analysis. IbPRIA 2011. Lecture Notes in Computer Science, vol 6669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21257-4_13
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DOI: https://doi.org/10.1007/978-3-642-21257-4_13
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