Paper Info
Title
A differential evolution algorithm for the detection of synaptic vesicles
Abstract
Neurotransmitters used by chemical synapses are stored in synaptic vesicles that accumulate in axon terminals. The number and position of these vesicles have been related to some important functional properties of the synapse. For this reason, an accurate mechanism for semi-automatically counting these small cellular structures will be of great help for neuroscientists. In this paper, we present a Differential Evolution algorithm that quantifies the number of synaptic vesicles in electron micrographs. The algorithm has been tested on several images that have been obtained from the somatosensory cortex of the rat and compared with some traditional approaches for detecting circular structures. Finally, the results have been validated by two independent expert anatomists.
Year
DOI
Venue
2011
10.1109/CEC.2011.5949818
Evolutionary Computation
Keywords
Field
DocType
biomedical equipment,cellular biophysics,mechanoception,neurophysiology,scanning electron microscopy,FIB-SEM images,axon terminals,cellular structures,chemical synapses,circular structures,differential evolution algorithm,electron micrographs,neurotransmitters,semiautomatic counting,somatosensory cortex,synaptic vesicle detection,two-independent expert anatomists
Neuroscience,Synapse,Neurophysiology,Synaptic vesicle,Computer science,Biomedical equipment,Axon,Artificial intelligence,Somatosensory system,Vesicle,Differential evolution algorithm,Machine learning
Conference
ISSN
ISBN
Citations 
Pending
978-1-4244-7834-7
1
PageRank 
References 
Authors
0.38
15
6
Name
Order
Citations
PageRank
Antonio LaTorre117713.10
Santiago Muelas219812.36
José María Peña311810.30
Roberto Santana435719.04
Ángel Merchán-Pérez532.12
José R. Rodriguez61608197.61