Model-based segmentation and quantification of subcellular structures in 2D and 3D fluorescent microscopy images

Stefan Wörz; Stephan Heinzer; Matthias Weiss; Karl Rohr

doi:10.1117/12.769453

12 March 2008 Model-based segmentation and quantification of subcellular structures in 2D and 3D fluorescent microscopy images

Stefan Wörz, Stephan Heinzer, Matthias Weiss, Karl Rohr

Author Affiliations +

Proceedings Volume 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images; 69161F (2008) https://doi.org/10.1117/12.769453
Event: Medical Imaging, 2008, San Diego, California, United States

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.

Citation Download Citation

Stefan Wörz, Stephan Heinzer, Matthias Weiss, and Karl Rohr "Model-based segmentation and quantification of subcellular structures in 2D and 3D fluorescent microscopy images", Proc. SPIE 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, 69161F (12 March 2008); https://doi.org/10.1117/12.769453

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