High density MEAs provides improved capabilities in spatially and temporally resolving network activity patterns at the resolution of single cell, becoming more and more a standard technology in unravelling neuronal signal processing. In combination with fluorescence imaging, these devices open new perspective in finely identify structural and functional network properties. In this paper we present an automated analysis able to correlate the network topology extracted from fluorescence imaging of specific sub populations (e.g. inhibitory neurons), with high density electrophysiological recordings, paving the way to finely correlate functional activity with morphological spatial composition of dissociated neuronal cultures.

Structural and functional identification of sub-networks in dissociated neuronal cultures: an automated multimodal analysis combining high density MEA and fluorescence imaging

Sona, Diego;
2012

Abstract

High density MEAs provides improved capabilities in spatially and temporally resolving network activity patterns at the resolution of single cell, becoming more and more a standard technology in unravelling neuronal signal processing. In combination with fluorescence imaging, these devices open new perspective in finely identify structural and functional network properties. In this paper we present an automated analysis able to correlate the network topology extracted from fluorescence imaging of specific sub populations (e.g. inhibitory neurons), with high density electrophysiological recordings, paving the way to finely correlate functional activity with morphological spatial composition of dissociated neuronal cultures.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/251619
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