DocumentCode :
598038
Title :
A joint structural and functional analysis of in-vitro neuronal networks
Author :
Ullo, S. ; Del Bue, Alessio ; Maccione, Alessandro ; Berdondini, Luca ; Murino, Vittorio
Author_Institution :
Ist. Italiano di Tecnol. (IIT), Genoa, Italy
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
1269
Lastpage :
1272
Abstract :
The acquisition, analysis and representation of experimental data describing both anatomical and functional information at cellular level is an innovative opportunity to investigate neuronal network processing and organization. In this paper we propose an image processing pipeline to study in-vitro neuronal networks with a joint analysis of anatomy and electrophysiology. Neuronal nuclei are detected by segmenting fluorescence images of neuronal cultures. The high resolution Multi Electrode Arrays (MEAs) technology is used to collect functional information on cellular electrophysiological activity. Finally, detailed maps, representing both structural and functional information, are obtained which provide statistics on neuron distribution and spiking activity.
Keywords :
bioelectric phenomena; biomedical electrodes; brain; cellular biophysics; data acquisition; image resolution; image segmentation; medical image processing; medical signal detection; statistical analysis; MEA technology; anatomical information; anatomy; cellular electrophysiological activity; cellular level; data acquisition; data analysis; data representation; functional information; functional information analysis; high-resolution multielectrode array technology; image processing pipeline; in-vitro neuronal network processing; neuron distribution; neuronal culture fluorescence image segmention; neuronal network organization; neuronal nuclei detection; spiking activity; statistical analysis; structural information analysis; Biological neural networks; Detection algorithms; Electrodes; Image edge detection; Imaging; Neurons; Transforms; Circular Hough Transform; High-resolution MEA; Multimodal analysis; Neuronal networks; Object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467098
Filename :
6467098
Link To Document :
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