NON PARAMETRIC CELL NUCLEI SEGMENTATION BASED ON A TRACKING OVER DEPTH FROM 3D FLUORESCENCE CONFOCAL IMAGES

Abstract : 3D cell nuclei segmentation from fluorescence microscopy images is a key application in many biological studies. We propose a new, fully automated and non parametric method that takes advantage of the resolution anisotropy in fluorescence microscopy. The cell nuclei are first detected in 2D at each image plane and then tracked over depth through a graph based decision to recover their 3D profiles. As the tracking fails to separate very close cell nuclei along depth, we also propose a corrective step based on an intensity projection criterion. Experimental results on real data demonstrate the efficacy of the proposed method.
Type de document :
Communication dans un congrès
ISBI - 9th IEEE International Symposium On Biomedical Imaging : from nano to macro - 2012, May 2012, Barcelona, Spain. 2012
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00921540
Contributeur : Thierry Pécot <>
Soumis le : vendredi 20 décembre 2013 - 15:34:27
Dernière modification le : mercredi 11 avril 2018 - 01:52:04
Document(s) archivé(s) le : vendredi 21 mars 2014 - 07:40:11

Fichier

article.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00921540, version 1

Collections

Citation

Thierry Pécot, Shantanu Singh, Enrico Caserta, Kun Huang, Raghu Machiraju, et al.. NON PARAMETRIC CELL NUCLEI SEGMENTATION BASED ON A TRACKING OVER DEPTH FROM 3D FLUORESCENCE CONFOCAL IMAGES. ISBI - 9th IEEE International Symposium On Biomedical Imaging : from nano to macro - 2012, May 2012, Barcelona, Spain. 2012. 〈hal-00921540〉

Partager

Métriques

Consultations de la notice

281

Téléchargements de fichiers

196