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Neuronal Recordings with Solid-Conductor Intracellular Nanoelectrodes (SCINEs)

Overview of attention for article published in PLOS ONE, August 2012
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Title
Neuronal Recordings with Solid-Conductor Intracellular Nanoelectrodes (SCINEs)
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043194
Pubmed ID
Authors

Matthew R. Angle, Andreas T. Schaefer

Abstract

Direct electrical recording of the neuronal transmembrane potential has been crucial to our understanding of the biophysical mechanisms subserving neuronal computation. Existing intracellular recording techniques, however, limit the accuracy and duration of such measurements by changing intracellular biochemistry and/or by damaging the plasma membrane. Here we demonstrate that nanoengineered electrodes can be used to record neuronal transmembrane potentials in brain tissue without causing these physiological perturbations. Using focused ion beam milling, we have fabricated Solid-Conductor Intracellular NanoElectrodes (SCINEs), from conventional tungsten microelectrodes. SCINEs have tips that are <300 nm in diameter for several micrometers, but can be easily handled and can be inserted into brain tissue. Performing simultaneous whole-cell patch recordings, we show that SCINEs can record action potentials (APs) as well as slower, subthreshold neuronal potentials without altering cellular properties. These results show a key role for nanotechnology in the development of new electrical recording techniques in neuroscience.

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Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
India 1 1%
France 1 1%
Germany 1 1%
Unknown 88 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 36%
Researcher 20 21%
Student > Master 9 10%
Student > Bachelor 8 9%
Student > Doctoral Student 6 6%
Other 10 11%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 21%
Engineering 20 21%
Neuroscience 17 18%
Materials Science 7 7%
Chemistry 5 5%
Other 18 19%
Unknown 7 7%