Published March 1, 2017 | Version v1

Enhanced Detection of Unstained Cells in an Existing Segmentation and Tracking Framework

  • 1. ROR icon Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
  • 2. ROR icon Friedrich Schiller University Jena

Contributors

  • 1. ROR icon Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
  • 2. Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Friedrich Schiller University Jena, Germany

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Enhanced-Detection-of-Unstained-Cells-in-an-Existing-Segmentation-and-Tracking-Framework_1.pdf

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Is described by
Journal article: 10.1016/j.media.2014.10.002 (DOI)