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 structures 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.

A Subjective Surfaces Based Segmentation for the Reconstruction of Biological Cell Shape / M. Campana; C. Zanella; B. Rizzi; C. Melani; P. Bourgine; N.Peyriéras; A. Sarti. - STAMPA. - (2008), pp. 555-558. (Intervento presentato al convegno Third International Conference on Computer Vision Theory and Applications tenutosi a Funchal, Madeira, Portugal nel January 22-25, 2008).

A Subjective Surfaces Based Segmentation for the Reconstruction of Biological Cell Shape

CAMPANA, MATTEO;ZANELLA, CECILIA;RIZZI, BARBARA;MELANI, CAMILO;SARTI, ALESSANDRO
2008

Abstract

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 structures 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.
2008
Proceedings of the Third International Conference on Computer Vision Theory and Applications
555
558
A Subjective Surfaces Based Segmentation for the Reconstruction of Biological Cell Shape / M. Campana; C. Zanella; B. Rizzi; C. Melani; P. Bourgine; N.Peyriéras; A. Sarti. - STAMPA. - (2008), pp. 555-558. (Intervento presentato al convegno Third International Conference on Computer Vision Theory and Applications tenutosi a Funchal, Madeira, Portugal nel January 22-25, 2008).
M. Campana; C. Zanella; B. Rizzi; C. Melani; P. Bourgine; N.Peyriéras; A. Sarti
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/79788
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact