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Author Tsechpenakis, G. ♦ Gamage, R.E. ♦ Kim, M.D. ♦ Chiba, A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Shape ♦ Image segmentation ♦ Three dimensional displays ♦ Manganese ♦ Nerve fibers ♦ Morphology
Abstract Type-specific dendritic arborization patterns dictate synaptic connectivity and are fundamental determinants of neuronal function. We exploit the morphological stereotypy and relative simplicity of the Drosophila nervous system to model the diverse dendritic morphologies of individual motor neurons (MNs) to understand underlying principles of synaptic connectivity in a motor circuit. The genetic tractability of Drosophila allows us to label single MNs with green fluorescent protein (GFP) and serially reconstruct identifiable MNs in 3D with confocal microscopy. Our computational approach aims at the robust segmentation of the MN volumes and the simultaneous partitioning into their compartments, namely the soma, axon and dendrites. We use the idea of co-segmentation, where every image along the z-axis (depth) is clustered using information from ‘neighboring’ depths. As appearance we use a 3D extension of Haar features and for the shape we define an implicit representation of the segmentation domain.
Description Author affiliation: Biology Department, University of Miami (Chiba, A.) || Department of Computer and Information Science, Indiana University-Purdue University Indianapolis (Tsechpenakis, G.; Gamage, R.E.) || Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine (Kim, M.D.)
ISBN 9781424441211
ISSN 1557170X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-08-30
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781457715891
Size (in Bytes) 1.06 MB
Page Count 4
Starting Page 7755
Ending Page 7758

Source: IEEE Xplore Digital Library