NON PARAMETRIC CELL NUCLEI SEGMENTATION BASED ON A TRACKING OVER DEPTH FROM 3D FLUORESCENCE CONFOCAL IMAGES - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

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

Résumé

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.
Fichier principal
Vignette du fichier
article.pdf (4.92 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00921540 , version 1 (20-12-2013)

Identifiants

  • HAL Id : hal-00921540 , version 1

Citer

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. ⟨hal-00921540⟩

Collections

INRIA INRIA2
141 Consultations
184 Téléchargements

Partager

Gmail Facebook X LinkedIn More