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Proceedings Paper

3D geometry-based quantification of colocalizations in three-channel 3D microscopy images of soft tissue tumors
Author(s): Stefan Wörz; Petra Sander; Martin Pfannmöller; Ralf J. Rieker; Stefan Joos; Gunhild Mechtersheimer; Petra Boukamp; Peter Lichter; Karl Rohr
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Paper Abstract

We introduce a new model-based approach for automatic quantification of colocalizations in multi-channel 3D microscopy images. The approach is based on different 3D parametric intensity models in conjunction with a model fitting scheme to localize and quantify subcellular structures with high accuracy. The central idea is to determine colocalizations between different channels based on the estimated geometry of subcellular structures as well as to differentiate between different types of colocalizations. Furthermore, we perform a statistical analysis to assess the significance of the determined colocalizations. We have successfully applied our approach to about 400 three-channel 3D microscopy images of human soft-tissue tumors.

Paper Details

Date Published: 9 March 2010
PDF: 8 pages
Proc. SPIE 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 762616 (9 March 2010); doi: 10.1117/12.843772
Show Author Affiliations
Stefan Wörz, Univ. of Heidelberg (Germany)
BIOQUANT (Germany)
IPMB (Germany)
Petra Sander, German Cancer Research Ctr. (Germany)
Martin Pfannmöller, Univ. of Heidelberg (Germany)
BIOQUANT (Germany)
IPMB (Germany)
Ralf J. Rieker, Univ. Hospital Heidelberg (Germany)
Medical Univ. of Innsbruck (Germany)
Stefan Joos, German Cancer Research Ctr. (Germany)
Gunhild Mechtersheimer, Univ. Hospital Heidelberg (Germany)
Petra Boukamp, German Cancer Research Ctr. (Germany)
Peter Lichter, German Cancer Research Ctr. (Germany)
Karl Rohr, Univ. of Heidelberg (Germany)
BIOQUANT (Germany)
IPMB (Germany)


Published in SPIE Proceedings Vol. 7626:
Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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