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MORPHOLOGICAL-BASED ADAPTIVE SEGMENTATION AND QUANTIFICATION OF CELL ASSAYS IN HIGH CONTENT SCREENING
 

Summary: MORPHOLOGICAL-BASED ADAPTIVE SEGMENTATION AND QUANTIFICATION OF
CELL ASSAYS IN HIGH CONTENT SCREENING
J. Angulo
Centre de Morphologie Math´ematique
Ecole des Mines de Paris
35 rue Saint-Honor´e, 77305 Fontainebleau, France
B. Schaack
Laboratoire BioPuces
CEA Grenoble - DSV/ iRTSV
17 rue des Martyrs, 38054 Grenoble, France
ABSTRACT
In fluorescence-labelled cell assays for high content screen-
ing applications, image processing software is necessary to
have automatic algorithms for segmenting the cells individ-
ually and for quantifying their intensities, size/shape param-
eters, etc. Mathematical morphology is a non-linear image
processing technique which is proven to be a very powerful
tool in biomedical microscopy image analysis. This paper
presents a morphological methodology based on connected
filters, watershed transformation and granulometries for seg-

  

Source: Angulo,Jesús - Centre de Morphologie Mathématique, Ecole des Mines de Paris

 

Collections: Computer Technologies and Information Sciences