A subjective surfaces based segmentation for the reconstruction of biological cell shape

Matteo Campana (1) , Cecilia Zanella (1) , Barbara Rizzi (1) , Paul Bourgine (2, 3) , Nadine Peyriéras (4, 5, 6) , Alessandro Sarti (1)

1 DEIS - Dipartimento di Elettronica, Informatica e Sistemistica
2 CREA - Centre de recherche en épistémologie appliquée
3 RNSC - Réseau National des Systèmes Complexes
4 N&eD - Neurobiologie et Développement
5 ISC-PIF - Institut des Systèmes Complexes - Paris Ile-de-France
6 INAF - Institut de Neurobiologie Alfred Fessard

Confocal laser scanning microscopy provides nondestructive in vivo imaging to capture specific structures that have been fluorescently labeled, such as cell nuclei and membranes, throughout early Zebrafish embryogenesis. With this strategy we aim at reconstruct in time and space the biological tructures of the embryo during the organogenesis. In this paper we propose a method to extract bounding surfaces at the cellular-organization level from microscopy images. The shape reconstruction of membranes and nuclei is obtained first with an automatic identification of the cell center and then a subjective surfaces based segmentation is used to extract the bounding surfaces.

Mots clés: Image Segmentation; Surface Geometry; Shape extraction; Biological Image Analysis

Domaines: Neurosciences [q-bio.NC]

Matteo Campana, Cecilia Zanella, Barbara Rizzi, Paul Bourgine, Nadine Peyriéras, et al.. A subjective surfaces based segmentation for the reconstruction of biological cell shape. Ranchordas Alpesh and Araújo Helder. VISAPP 2008, INSTICC - Institute for Systems and Technologies of Information, Control and Communication, pp.555-558, 2008, Proceedings of the Third International Conference on Computer Vision Theory and Applications Volume 1, 978-989-8111-21-0. ⟨hal-00723375⟩