Automated Image Processing to Quantify Cell Migration

  • Minmin Shen
  • Bastian Zimmer
  • Marcel Leist
  • Dorit Merhof
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

Methods to evaluate migration capacity of stem cells and the inhibition by chemicals are important for biomedical research. Here, we established an automated image processing framework to quantify migration of human neural crest (NC) cells into an initially empty, circular region of interest (ROI). The ROI is partially filled during the experiment by migrating cells. Based on an image captured only once at the end of the biological experiment, the framework identifies the initial ROI. The identification worked also, when the distribution of surrounding cells showed large heterogeneity. After segmentation, the number of migrated cells was identified. The image processing framework was capable of efficiently quantifying chemical effects on cell migration.

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Literatur

  1. Zimmer B, Lee G, Balmer NV, et al. Evaluation of developmental toxicants and signaling pathways in a functional test based on the migration of human neural crest cells. Environ Health Perspect. 2012;120(8):1116–22.Google Scholar
  2. Riess T, Dietz C, Tomas M, et al. Automated Image Processing for the Analysis of DNA Repair Dynamics. In: Proc. 3rd International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies (BioTechno); 2011. p. 31–6.Google Scholar
  3. Berthold MR, Cebron N, Dill F, et al. KNIME: The Konstanz Information Miner. In: Proc. Data Analysis, Machine Learning and Applications; 2008. p. 319–26.Google Scholar
  4. Jones TR, Carpenter AE, Golland P. Voronoi-Based Segmentation of Cells on Image Manifolds. In: Proc. Computer Vision for Biomedical Image Applications (CVBIA);2005. p. 535–43.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Minmin Shen
    • 1
  • Bastian Zimmer
    • 2
  • Marcel Leist
    • 2
  • Dorit Merhof
    • 1
  1. 1.Interdiscipinary Center for Interative Data Analysis, Modelling and Visual Exploration (INCIDE)University of KonstanzKonstanzDeutschland
  2. 2.The Doerenkamp-Zbinden Chair of in-vitro Toxicology and BiomedicineUniversity of KonstanzKonstanzDeutschland

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