Title
A Graphical Model to Determine the Subcellular Protein Location in Artificial Tissues.
Abstract
Location proteomics is concerned with the systematic analysis of the subcellular location of proteins. In order to perform comprehensive analysis of all protein location patterns, automated methods are needed. With the goal of extending automated subcellular location pattern analysis methods to high resolution images of tissues, 3D confocal microscope images of polarized CaCo2 cells immunostained for various proteins were collected. A three-color staining protocol was developed that permits parallel imaging of proteins of interest as well as DNA and the actin cytoskeleton. The collection is composed of 11 to 21 images for each of the 9 proteins that depict major subcellular patterns. A classifier was trained to recognize the subcellular location pattern of segmented cells with an accuracy of 89.2%. Using the Prior Updating method allowed improvement of this accuracy to 99.6%. This study demonstrates the benefit of using a graphical model approach for improving the pattern classification in tissue images.
Year
DOI
Venue
2010
10.1109/ISBI.2010.5490167
ISBI
Keywords
Field
DocType
systematic analysis,location proteomics,pattern classification,graphical model,comprehensive analysis,automated subcellular location pattern,analysis method,major subcellular pattern,subcellular location pattern,subcellular location,subcellular protein location,protein location pattern,artificial tissue,erbium,biomedical research,polarization,graphical models,image segmentation,bioinformatics,microscopy,optical microscopy,feature extraction,protocols,image classification,predictive models,pattern analysis,proteomics,image resolution,learning artificial intelligence,proteins,dna,fluorescence,machine learning,cancer
Computer vision,Proteomics,Pattern recognition,Computer science,Feature extraction,Image segmentation,Artificial intelligence,Confocal,Graphical model,Contextual image classification,Image resolution,Protein location
Conference
Volume
ISSN
ISBN
2010
1945-7928
978-1-4244-4126-6
Citations 
PageRank 
References 
0
0.34
3
Authors
6
Name
Order
Citations
PageRank
Estelle Glory-Afshar1191.39
Elvira Osuna-Highley2221.72
Brian Granger3171.62
Robert F Murphy485178.19
Glory-Afshar, E.500.34
Osuna-Highley, E.600.34