Authors:
Matteo Campana
1
;
Cecilia Zanella
1
;
Barbara Rizzi
1
;
Paul Bourgine
2
;
Nadine Peyriéras
2
and
Alessandro Sarti
1
Affiliations:
1
Bologna University, Italy
;
2
CREA-Ecole Polytechnique, France
Keyword(s):
Image Segmentation, Surface Geometry and Shape Extraction, Biological Image Analysis.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Segmentation and Grouping
;
Signal Processing, Sensors, Systems Modeling and Control
;
Surface Geometry and Shape
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.