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Proceedings Paper

Model-based segmentation and quantification of subcellular structures in 2D and 3D fluorescent microscopy images
Author(s): Stefan Wörz; Stephan Heinzer; Matthias Weiss; Karl Rohr
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Paper Abstract

We introduce a model-based approach for segmenting and quantifying GFP-tagged subcellular structures of the Golgi apparatus in 2D and 3D microscopy images. The approach is based on 2D and 3D intensity models, which are directly fitted to an image within 2D circular or 3D spherical regions-of-interest (ROIs). We also propose automatic approaches for the detection of candidates, for the initialization of the model parameters, and for adapting the size of the ROI used for model fitting. Based on the fitting results, we determine statistical information about the spatial distribution and the total amount of intensity (fluorescence) of the subcellular structures. We demonstrate the applicability of our new approach based on 2D and 3D microscopy images.

Paper Details

Date Published: 12 March 2008
PDF: 7 pages
Proc. SPIE 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, 69161F (12 March 2008); doi: 10.1117/12.769453
Show Author Affiliations
Stefan Wörz, Univ. of Heidelberg (Germany)
German Cancer Research Ctr. (Germany)
Stephan Heinzer, German Cancer Research Ctr. (Germany)
Matthias Weiss, German Cancer Research Ctr. (Germany)
Karl Rohr, Univ. of Heidelberg (Germany)
German Cancer Research Ctr. (Germany)


Published in SPIE Proceedings Vol. 6916:
Medical Imaging 2008: Physiology, Function, and Structure from Medical Images
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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