3D Geometry-Based Quantification of Colocalizations in Three-Channel 3D Microscopy Images of Soft Tissue Tumors

被引：0

作者：

Woerz, Stefan ^{[1
]}

Sander, Petra ^{[2
]}

Pfannmoeller, Martin ^{[1
]}

Rieker, Ralf J. ^{[3
,4
]}

Joos, Stefan

Mechtersheimer, Gunhild ^{[3
]}

Boukamp, Petra ^{[5
]}

Lichter, Peter ^{[2
]}

Rohr, Karl ^{[1
]}

机构：

[1] Heidelberg Univ, Dept Bioinformat & Funct Genom, Biomed Comp Vis Grp, BIOQUANT,IPMB, Heidelberg, Germany

[2] German Canc Res Ctr, Dept Mol Genet, Heidelberg, Germany

[3] Univ Hosp, Dept Pathol, Heidelberg, Germany

[4] Med Univ Innsbruck, Inst Pathol, Innsbruck, Austria

[5] German Canc Res Ctr, Dept Genet Skin Carcinogenesis, Heidelberg, Germany

来源：

MEDICAL IMAGING 2010: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING | 2010年 / 7626卷

关键词：

Telomeres and PML bodies; Colocalization; Model-based segmentation; Parametric intensity model; TELOMERES; DNA;

D O I：

10.1117/12.843772

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页数：8

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