학술논문

Quantification of Subcellular Molecules in Tissue Microarray
Document Type
Conference
Source
2010 20th International Conference on Pattern Recognition Pattern Recognition (ICPR), 2010 20th International Conference on. :2548-2551 Aug, 2010
Subject
Computing and Processing
Erbium
Proteins
Biomembranes
Measurement
Immune system
Biological tissues
Observers
Molecular Cell Imaging
Automated Biomarker Scoring
Fluorescent Microscopy Image Analysis
Biomarker quantification
Language
ISSN
1051-4651
Abstract
Quantifying expression levels of proteins with sub cellular resolution is critical to many applications ranging from biomarker discovery to treatment planning. In this paper, we present a fully automated method and a new metric that quantifies the expression of target proteins in immunohisto-chemically stained tissue microarray (TMA) samples. The proposed metric is superior to existing intensity or ratio-based methods. We compared performance with the majority decision of a group of 19 observers scoring estrogen receptor (ER) status, achieving a detection rate of 96% with 90% specificity. The presented methods will accelerate the processes of biomarker discovery and transitioning of biomarkers from research bench to clinical utility.