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dc.contributor.author
Müller, Jan
dc.contributor.author
Ballini, Marco
dc.contributor.author
Livi, Paolo
dc.contributor.author
Chen, Yihui
dc.contributor.author
Radivojevic, Milos
dc.contributor.author
Shadmani, Amir
dc.contributor.author
Viswam, Vijay
dc.contributor.author
Jones, Ian L.
dc.contributor.author
Fiscella, Michele
dc.contributor.author
Diggelmann, Roland
dc.contributor.author
Stettler, Alexander
dc.contributor.author
Frey, Urs
dc.contributor.author
Bakkum, Douglas J.
dc.contributor.author
Hierlemann, Andreas
dc.date.accessioned
2023-07-14T10:54:24Z
dc.date.available
2017-06-11T18:07:48Z
dc.date.available
2023-07-14T10:54:24Z
dc.date.issued
2015-07
dc.identifier.issn
1473-0197
dc.identifier.issn
1473-0189
dc.identifier.other
10.1039/c5lc00133a
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/102106
dc.identifier.doi
10.3929/ethz-b-000102106
dc.description.abstract
Studies on information processing and learning properties of neuronal networks would benefit from simultaneous and parallel access to the activity of a large fraction of all neurons in such networks. Here, we present a CMOS-based device, capable of simultaneously recording the electrical activity of over a thousand cells in in vitro neuronal networks. The device provides sufficiently high spatiotemporal resolution to enable, at the same time, access to neuronal preparations on subcellular, cellular, and network level. The key feature is a rapidly reconfigurable array of 26 400 microelectrodes arranged at low pitch (17.5 μm) within a large overall sensing area (3.85 × 2.10 mm2). An arbitrary subset of the electrodes can be simultaneously connected to 1024 low-noise readout channels as well as 32 stimulation units. Each electrode or electrode subset can be used to electrically stimulate or record the signals of virtually any neuron on the array. We demonstrate the applicability and potential of this device for various different experimental paradigms: large-scale recordings from whole networks of neurons as well as investigations of axonal properties of individual neurons.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Royal Society of Chemistry
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
dc.date.published
2015-05-07
ethz.journal.title
Lab on a Chip
ethz.journal.volume
15
en_US
ethz.journal.issue
13
en_US
ethz.journal.abbreviated
Lab chip
ethz.pages.start
2767
en_US
ethz.pages.end
2780
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
004227226
ethz.publication.place
Cambridge
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03684 - Hierlemann, Andreas / Hierlemann, Andreas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03684 - Hierlemann, Andreas / Hierlemann, Andreas
ethz.date.deposited
2017-06-11T18:08:34Z
ethz.source
ECIT
ethz.identifier.importid
imp5936534883f4351144
ethz.ecitpid
pub:160232
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-18T09:36:12Z
ethz.rosetta.lastUpdated
2024-02-03T01:41:36Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=High-resolution%20CMOS%20MEA%20platform%20to%20study%20neurons%20at%20subcellular,%20cellular,%20and%20network%20levels&rft.jtitle=Lab%20on%20a%20Chip&rft.date=2015-07&rft.volume=15&rft.issue=13&rft.spage=2767&rft.epage=2780&rft.issn=1473-0197&1473-0189&rft.au=M%C3%BCller,%20Jan&Ballini,%20Marco&Livi,%20Paolo&Chen,%20Yihui&Radivojevic,%20Milos&rft.genre=article&rft_id=info:doi/10.1039/c5lc00133a&
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