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ISBI
2008
IEEE

Morphological-based adaptive segmentation and quantification of cell assays in high content screening

9 years 1 months ago
Morphological-based adaptive segmentation and quantification of cell assays in high content screening
In fluorescence-labelled cell assays for high content screening applications, image processing software is necessary to have automatic algorithms for segmenting the cells individually and for quantifying their intensities, size/shape parameters, 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 segmenting cells of different size, contrast, etc. In particular, the performance of the algorithms is illustrated with cell images from a toxicity assay in three-labels (Hoechst, EGFP, Phallo¨ıdin) on nanodrops cell-on-chip format.
Jesús Angulo, Béatrice Schaack
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where ISBI
Authors Jesús Angulo, Béatrice Schaack
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