DocumentCode :
1927877
Title :
Quantitative synaptic vesicle imaging for evaluating neuron activities in neurodegenerative diseases
Author :
Fan, Jing ; Xia, Xiaofeng ; Dy, Jennifer ; Wong, Stephen
Author_Institution :
Syst. Med. & Bioeng. Dept., Methodist Hosp. Res. Inst., Houston, TX, USA
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
421
Lastpage :
425
Abstract :
Synaptic vesicle dynamics play an important role in studying neuronal and synaptic activities of neurodegenerative diseases ranging from epidemic Alzheimer´s disease to rare Rett syndrome. To obtain significant statistical power in such studies, we developed a high content analysis (HCA) pipeline to visualize the vesicle dynamics and characterize the neuronal synaptic activities in a large population of neurons. Our experiments on hippocampal neuron assays showed that the proposed HCA system can automatically detect vesicles and quantify their dynamics for evaluating neuron activities. The availability of such an automated system would open up a vista to investigate synaptic neuropathology and identify candidate therapeutics of neurodegeneration.
Keywords :
data visualisation; diseases; medical image processing; neurophysiology; Alzheimer disease; Rett syndrome; high content analysis pipeline; hippocampal neuron; neurodegeneration therapeutics; neurodegenerative diseases; neuron activity evaluation; quantitative synaptic vesicle imaging; synaptic neuropathology; vesicle automatic detection; vesicle dynamics visualization; Frequency modulation; Image segmentation; Manuals; Neurons; Noise; Nonhomogeneous media; Pipelines; detection and quantification; high throughput study; neurodegenerative disease; neuron activity; synaptic vesicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4673-0321-7
Type :
conf
DOI :
10.1109/ACSSC.2011.6190033
Filename :
6190033
Link To Document :
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