Using mathematical morphology to eliminate debris and aggregates before DNA ploidy measurement of solid tumours
Christophe Boudry,
LERMAT, URA CNRS 1317, ISMRA, 14050 Caen Cedex, France; Centre F. Baclesse, Service d’Anatomie Pathologique, 14021 Caen, France; Université de Caen, URA CNRS 1829, 14074 Caen, France
Paulette Herlin,
Centre F. Baclesse, Service d’Anatomie Pathologique, 14021 Caen, France
Michel Coster,
LERMAT, URA CNRS 1317, ISMRA, 14050 Caen Cedex, France
Jean-Louis Chermant,
LERMAT, URA CNRS 1317, ISMRA, 14050 Caen Cedex, France
Brigitte Sola,
Université de Caen, URA CNRS 1829, 14074 Caen, France
Michel Henry-Amar,
Centre F. Baclesse, Service de Recherche Clinique, 14021 Caen, France
Abstract
Software strictly dedicated to DNA tumour measurement was previously developed, providing an automatic sorting of cellular elements based on a multiparametric analysis. Prospective research now focuses on the simplification of the sorting procedure. Mathematical morphology was used for pre-elimination of debris and aggregates. The results were compared to those obtained with multiparametric analysis. It is concluded that mathematical morphology is a promising tool.
Keywords : aggregates, debris, DNA ploidy measurement, mathematical morphology, solid tumours
To cite this article
Christophe Boudry, Paulette Herlin, Michel Coster, Jean-Louis Chermant, Brigitte Sola & Michel Henry-Amar, «Using mathematical morphology to eliminate debris and aggregates before DNA ploidy measurement of solid tumours», Acta Stereologica [En ligne], Volume 14 (1995), Number 2 - Quantitative image analysis - Nov. 1995, 121-128 URL : https://popups.ulg.ac.be/0351-580x/index.php?id=745.