Home > Publications database > Nanostraw-Nanocavity MEAs as a new tool for long-term and high sensitive recording of neuronal signals |
Book/Dissertation / PhD Thesis | FZJ-2022-01387 |
2021
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
Jülich
ISBN: 978-3-95806-593-2
Please use a persistent id in citations: http://hdl.handle.net/2128/30990 urn:nbn:de:0001-2022040621
Abstract: Electrical measurement of neuronal signals has enabled fundamental discoveries in neuroscience.Patch clamp method as a key standard of electrophysiological device has been shown an access tothe interior single cell using an electrode. Via this method recording of the signals from the entirespectrum of the membrane potentials, from action potential down to sub-threshold signals such aspost synaptic potentials, is feasible. Due to the invasive nature of this method, long term recordingof the cell is challenging. Extracellular electrodes, such as microelectrode arrays, in contrast enablelong term recordings of neuronal networks. However, these electrodes can only measure a fractionof the action potentials, which is due to the lack of proper cell-electrode coupling and high noiseof the electrodes. Research in the last decade has been focused on overcoming these limitations.Development of the vertical 3D nanoelectrodes has allowed to access the cell’s interior, howeverin most cases after the application of external forces such as opto/electro-poration, and thereforethese transient methods are not suitable for long term recordings.In this thesis, I developed nanostructure microelectrodes by associating two approaches ofnanostraws and nanocavities. Using nanostraws facilitate penetration to the cell membrane, andthe introduction of nanocavities provide high seal-resistance. The spontaneouselectrophysiological recording using our nanoelectrodes demonstrate both extracellular andintracellular (20% of cases) action potentials of cortical rat neurons over long period of time. Thisapproach enables the continuous high signal to noise ratio recordings with high sensitivity and theability to record post synaptic potentials. To further improve the spatial resolution of neuronalnetwork recordings, our nanoelectrodes can be integrated to CMOS-devices, which is of greatinterest for the neurophysiological studies
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