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Proceedings Article

Computational efficient segmentation of cell nuclei in 2D and 3D fluorescent micrographs

[+] Author Affiliations
Jonas De Vylder, Wilfried Philips

Ghent Univ. (Belgium)

Proc. SPIE 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 79021P (February 10, 2011); doi:10.1117/12.872725
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From Conference Volume 7902

  • Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX
  • Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif
  • San Francisco, California, USA | January 22, 2011

abstract

This paper proposes a new segmentation technique developed for the segmentation of cell nuclei in both 2D and 3D fluorescent micrographs. The proposed method can deal with both blurred edges as with touching nuclei. Using a dual scan line algorithm its both memory as computational efficient, making it interesting for the analysis of images coming from high throughput systems or the analysis of 3D microscopic images. Experiments show good results, i.e. recall of over 0.98.

© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Jonas De Vylder and Wilfried Philips
"Computational efficient segmentation of cell nuclei in 2D and 3D fluorescent micrographs", Proc. SPIE 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 79021P (February 10, 2011); doi:10.1117/12.872725; http://dx.doi.org/10.1117/12.872725


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