DocumentCode
2295944
Title
Automatic classification of neural cells activity experimental data
Author
Zakharov, Yu.N. ; Morozov, O.A. ; Shebentovskiy, A.P.
Author_Institution
N.I. Lobachevsky State Univ. of Nizhni Novgorod, Nizhny Novgorod, Russia
fYear
2011
fDate
18-20 May 2011
Firstpage
1
Lastpage
2
Abstract
The developed algorithms that implemented in software allows us to classify calcium signals of neuroimaging using distribution of calcium signals in amplitude, period and width. Also, our software allows to raise signal to noise ratio of input images using different methods of spatial filtering and determinate the synchronicity of the calcium oscillations.
Keywords
biomedical optical imaging; calcium; cellular biophysics; image classification; medical image processing; neurophysiology; Ca; automatic classification; calcium oscillations; calcium signals; neural cells activity experimental data; neuroimaging; software; spatial filtering; synchronicity; Calcium; Linear approximation; Oscillators; Signal resolution; Software; Software algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Photonics (IP), 2011 ICO International Conference on
Conference_Location
Ottawa, ON
Print_ISBN
978-1-61284-315-5
Type
conf
DOI
10.1109/ICO-IP.2011.5953800
Filename
5953800
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