학술논문

A differential evolution algorithm for the detection of synaptic vesicles
Document Type
Conference
Source
2011 IEEE Congress of Evolutionary Computation (CEC) Evolutionary Computation (CEC), 2011 IEEE Congress on. :1687-1694 Jun, 2011
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
Bioengineering
Signal Processing and Analysis
Convergence
Image edge detection
Pixel
Robustness
Filtering
Microscopy
Nerve fibers
Language
ISSN
1089-778X
1941-0026
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.