Nucleus Modelling And Segmentation In Cell Clusters

Abstract : This paper deals with individual nucleus modelling and segmentation, from fluorescence labelled images, of cell populations growing in complex clusters. The proposed approach is based on models and operators from mathematical morphology. Cells are individually marked by the ultimate opening and then are segmented by the watershed transformation. A cell counting algorithm based on classical results of Boolean model theory is heuristically used to detect errors in segmenting clustered nuclei.