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
Link To Document