3D Geometry-Based Quantification of Colocalizations in Multichannel 3D Microscopy Images of Human Soft Tissue Tumors

We introduce a new model-based approach for automatic quantification of colocalizations in multichannel 3D microscopy images. The approach uses different 3D parametric intensity models in conjunction with a model fitting scheme to localize and quantify subcellular structures with high accuracy. The...

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Veröffentlicht in:	IEEE transactions on medical imaging 2010-08, Vol.29 (8), p.1474-1484
Hauptverfasser:	Worz, S, Sander, P, Pfannmoller, M, Rieker, R J, Joos, S, Mechtersheimer, G, Boukamp, P, Lichter, P, Rohr, K
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bioinformatics Biological tissues Cancer DNA Fluorescence Fluorescent Dyes - chemistry Genomics Geometric colocalizations Granulocyte Precursor Cells - cytology Humans Imaging, Three-Dimensional - methods Indoles - chemistry Least-Squares Analysis Microscopy Microscopy, Confocal - methods Microscopy, Fluorescence - methods model-based segmentation Neoplasms Normal Distribution parametric intensity models Pathology Soft Tissue Neoplasms - chemistry Telomere - chemistry Telomeres and Promyelocytic leukemia (PML) bodies
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