2020
DOI: 10.1039/c9lc01148j
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A flexible 3-dimensional microelectrode array for in vitro brain models

Abstract: A flexible 3D microelectrode array (3DMEA) device was developed that non-invasively interrogates electrophysiology of 3D in vitro neuronal cultures.

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Cited by 138 publications
(139 citation statements)
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References 57 publications
(71 reference statements)
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“…Notably, the volumetric coverage to which the microelectrodes corresponded was approximately 114 sites⋅mm -3 . The density of the recording sites was ~33 sites⋅mm −3 , which was significantly higher than that of a 3D MEA that was reported recently 23 .…”
Section: Resultscontrasting
confidence: 54%
See 1 more Smart Citation
“…Notably, the volumetric coverage to which the microelectrodes corresponded was approximately 114 sites⋅mm -3 . The density of the recording sites was ~33 sites⋅mm −3 , which was significantly higher than that of a 3D MEA that was reported recently 23 .…”
Section: Resultscontrasting
confidence: 54%
“…In this work, we cultured for up to 14 days to observe the changes in connectivity among neurons according to maturation because we started observing cell death after 14 days due to the lack of nutrient supply. Because of both the higher cell seeding density than other typical 3D in vitro neural models 13 , 15 , 22 , 23 and continuous proliferation of small portions of non-neuronal cells (e.g., glia), included during the isolation of primary neurons from embryonic brains, we needed to change the culture medium more frequently for sufficient supply of nutrients after 14 days. We note that the 3D culture for up to 14 days was sufficient for synapse formation.…”
Section: Methodsmentioning
confidence: 99%
“…The array consists of 256 recording or stimulation channels. The action potential spike and burst activity were recorded for human-induced pluripotent stem cell (hiPSC)-derived neurons and astrocytes entrapped in a collagen-based hydrogel and seeded onto the 3DMEA, over 45 days in vitro [90].…”
Section: In Vitro Recordingmentioning
confidence: 99%
“…Mathematical models can also be applied to this data in order to allow the exploration of various cellular parameters that cannot be readily measured directly [3]. These advantages have triggered the broad adoption of impedance sensing in a wide variety of applications, with a range of custom instruments having been developed [4][5][6][7]. However, the adoption of these systems has been limited, as the construction of a specialist instrumentation is technically challenging.…”
Section: Introductionmentioning
confidence: 99%