Authors:
Alberto Silletti
1
;
Angelo Cenedese
2
and
Alessandro Abate
3
Affiliations:
1
Department of Information Engineering, University of Padova, Italy
;
2
Department of Engineering and Management, University of Padova, Italy
;
3
Department of Aeronautics and Astronautics, Stanford University, United States
Keyword(s):
Structure detection, Graphical model, Random walk, Drosophila wing, Morphogenesis.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
Abstract:
Drosophila melanogaster is a model organism in genetics thanks to the compactness of its genome and its relative simplicity. Recently, certain developmental patterns in Drosophila have been studied by mathematical models, with the aim of gaining deeper and quantitative insight into the morphogenesis of this insect. There is a need for accurate dynamical of the epithelial cell structure and organization within the fly wing, to further the understanding of a phenomenon known as planar cell polarity. The present study tackles the problem of retrieving such a salient structure using classical tools of dynamical system theory embedded with network and graph concepts. On the one hand the goal is to provide a visual detection and representation of the cell packaging that is accurate and fine. Particular care is also put in obtaining a model of this structure, whose main features are the compactness and simplicity.