Automatic classification of cellular elements of solid tumors: application to DNA quantitation
Eric Masson,
LEI/ISMRA F. 14050 Caen Cedex France; lnformatic Department - F. Baclesse Center F. 14021 Caen France
Paulette Herlin,
Pathology Department - F. Baclesse Center F. 14021 Caen France
Isabelle Galle,
Pathology Department - F. Baclesse Center F. 14021 Caen France
Françoise Duigou,
Pathology Department - F. Baclesse Center F. 14021 Caen France
Philippe Belhomme,
LEI/ISMRA F. 14050 Caen Cedex France
Daniel Bloyet,
LEI/ISMRA F. 14050 Caen Cedex France
Anne-Marie Mandard,
Pathology Department - F. Baclesse Center F. 14021 Caen France
Abstract
Image Cytometry (ICM) leads often to more reliable DNA measurement of archival solid tumors than Flow Cytometry (FCM) due to sorting of unwanted nuclear elements (inflammatory and stromal cell nuclei, nuclear debris). Nevertheless, interactive sorting is time consuming and unable to give statistically valuable results in an acceptable delay for clinical oncology. The strategy, first results and output of an automatic cell classifier developed within the framework of the optimization of a DNA analyzer are here presented.
Keywords : automatic cell classifier, DNA cytometry, image analyzer, solid tumors
Pour citer cet article
Eric Masson, Paulette Herlin, Isabelle Galle, Françoise Duigou, Philippe Belhomme, Daniel Bloyet & Anne-Marie Mandard, «Automatic classification of cellular elements of solid tumors: application to DNA quantitation», Acta Stereologica [En ligne], Volume 13 (1994), Number 1 - Proceedings of the sixth European congress for stereology - Part two - May 1994, 75-81 URL : https://popups.uliege.be/0351-580x/index.php?id=1021.