title: Digital image analysis of haematopoietic clusters.
abstract: Counting and differentiating cell clusters is a tedious task when performed with a light microscope. Moreover, biased counts and interpretation are difficult to avoid because of the difficulties to evaluate the limits between different types of clusters. Presented here, is a computer-based application able to solve these problems. The image analysis system is entirely automatic, from the stage screening, to the statistical analysis of the results of each experimental plate. Good correlations are found with measurements made by a specialised technician.
authors.affiliation: ENIB, Laboratoire de Recherche en Electronique, Signal, Optronique et Télécommunications, CP 15, 29608 Brest Cedex, France.
authors.forename: A
authors.initials: A
authors.lastname: Benzinou
authors.forename: Y
authors.initials: Y
authors.lastname: Hojeij
authors.forename: A-C
authors.initials: AC
authors.lastname: Roudot
mesh_terms: D001772:Blood Cell Count; D016000:Cluster Analysis; D006410:Hematopoiesis; D006801:Humans; D007091:Image Processing, Computer-Assisted