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
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