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

Jonas De Vylder; Wilfried Philips

doi:10.1117/12.872725

11 February 2011 Computational efficient segmentation of cell nuclei in 2D and 3D fluorescent micrographs

Jonas De Vylder, Wilfried Philips

Proceedings Volume 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX; 79021P (2011) https://doi.org/10.1117/12.872725
Event: SPIE BiOS, 2011, San Francisco, California, United States

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.

Citation Download 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 (11 February 2011); https://doi.org/10.1117/12.872725

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