Paper Info
Title
Novel Computerized Methods in System Biology ---Flexible High-Content Image Analysis and Interpretation System for Cell Images
Abstract
In the rapidly expanding fields of cellular and molecular biology, fluorescence illumination and observation is becoming one of the techniques of choice to study the localization and dynamics of proteins, organelles, and other cellular compartments, as well as a tracer of intracellular protein trafficking. The automatic analysis of these images and signals in medicine, biotechnology, and chemistry is a challenging and demanding field. Signal-producing procedures by microscopes, spectrometers and other sensors have found their way into wide fields of medicine, biotechnology, industrial and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which automatically generate the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analysis on the basis of the classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. We will present, based on our flexible image analysis and interpretation system Cell_Interpret, new intelligent and automatic image analysis and interpretation procedures. We will demonstrate it in the application of the HEp-2 cell pattern analysis.
Year
DOI
Venue
2008
10.1007/978-3-540-70715-8_12
MDA
Keywords
Field
DocType
interpretation procedure,mass analysis,cellular compartment,flexible image analysis,automatic mass analysis,automatic analysis,environmental analysis,interpretation system,system biology,hep-2 cell pattern analysis,cell images,novel computerized methods,automatic image analysis,signal-interpreting system,flexible high-content image analysis,pattern analysis,molecular biology,content analysis,visual inspection,system architecture,image analysis
Computer vision,Computer science,Pattern analysis,Systems biology,Artificial intelligence
Conference
Volume
ISSN
Citations 
5108
0302-9743
4
PageRank 
References 
Authors
0.51
20
1
Name
Order
Citations
PageRank
Petra Perner11466168.32