• DocumentCode
    617350
  • Title

    Robust 3D cell segmentation by local region growing in convex volumes

  • Author

    Pfister, Sabina Sara ; Betizeau, Marion ; Dehay, Colette ; Douglas, Rodney

  • Author_Institution
    Inst. of Neuroinf., Univ. & ETH Zurich, Zurich, Switzerland
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    426
  • Lastpage
    431
  • Abstract
    Clustering of cells is based on their expression profiles (either volume, average expression, standard deviation, sum, median or Pearson correlation coefficient). As an example, the hierarchical clustergram of median expression values was computed on 8343 cells in the germinal layers of monkey developing cerebral cortex stained for Pax6 (red), Tbr2 (blue), Ki67 (green), and nuclear staining DAPI. Cells where clustered with the standard k-means algorithm, whereby the number of clusters k=6 was determined empirically.
  • Keywords
    cellular biophysics; image segmentation; medical image processing; neurophysiology; 8343 cell computation; Ki67; Pax6; Robust 3D cell segmentation local region growing; Tbr2; convex volumes; germinal layers; hierarchical clustergram; median expression values; monkey developing cerebral cortex; nuclear staining DAPI; standard k-means algorithm; supplementary materials; Abstracts; Fluorescence; Gray-scale; Image segmentation; Materials; Radio access networks; Robustness; 3D cells segmentation; ImageJ; XCell;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556503
  • Filename
    6556503