Transparent Transfer‐Free Ultrasmall Multilayer Graphene Microelectrodes Enable High Quality Recordings in Brain Slices
Source abstract
Abstract
ABSTRACT Resolving the underlying mechanisms of complex brain functions and associated disorders remains a major challenge in neuroscience, largely due to the difficulty in mapping large‐scale neural network dynamics with high spatiotemporal resolution. Multimodal neural platforms that integrate optical and electrical modalities offer a promising approach that surpasses resolution limits. Over the last decade, transparent graphene microelectrodes have been proposed as highly suitable multimodal neural interfaces. However, their fabrication commonly relies on the manual transfer process of pre‐grown graphene sheets which introduces reliability and scalability issues. In this study, multilayer graphene microelectrode arrays (MEAs) with electrode sizes as small as 10–50 µm in diameter, are fabricated using a transfer‐free process on a transparent substrate for in vitro multimodal platforms. For the first time, the capability of transparent graphene electrodes with a diameter of just 10 µm to reliably capture extracellular spiking activity with high signal‐to‐noise ratios (up to ∼25 dB) is demonstrated. The recorded signal quality is found to be more limited by the electrode‐tissue coupling than the MEA technology itself. Overall, this study shows the potential of transfer‐free multilayer graphene MEAs to interface with neural tissue, paving the way to advancing neuroscientific research through the next‐generation of multimodal neural interfaces.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Neuroscience and Neural Engineering · Graphene and Nanomaterials Applications · Photoreceptor and optogenetics research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Microelectronics Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft The Netherlands
Department of System Integration and Interconnection Technologies Fraunhofer Institute for Reliability and Microintegration IZM Berlin Germany
Department of Neuroscience Erasmus MC Rotterdam The Netherlands
Funding
Rijksdienst voor Ondernemend Nederland · Fraunhofer-Gesellschaft · Ministerie van Onderwijs, Cultuur en Wetenschap
References (51)
Show source-provided references
1. 10.1016/j.expneurol.2012.01.02810.1016/j.expneurol.2012.01.028 ↗
2. 10.1016/j.neuron.2019.03.00410.1016/j.neuron.2019.03.004 ↗
3. 10.1038/npp.2009.11110.1038/npp.2009.111 ↗
4. 10.1038/s41587-019-0198-810.1038/s41587-019-0198-8 ↗
5. 10.1186/s42234-018-0010-y10.1186/s42234-018-0010-y ↗
6. 10.1146/annurev.bioeng.10.061807.16051810.1146/annurev.bioeng.10.061807.160518 ↗
7. 10.1038/natrevmats.2016.9310.1038/natrevmats.2016.93 ↗
8. 10.1016/j.arr.2023.10193310.1016/j.arr.2023.101933 ↗
9. 10.1038/nrn317110.1038/nrn3171 ↗
10. 10.1016/j.jneumeth.2015.06.00410.1016/j.jneumeth.2015.06.004 ↗
11. 10.1038/s41378-023-00519-x10.1038/s41378-023-00519-x ↗
12. 10.1038/s41578-024-00728-410.1038/s41578-024-00728-4 ↗
13. Multilayer CVD Graphene Electrodes Using a Transfer‐free Process for the next Generation of Optically Transparent and MRI‐compatible Neural Interfaces
14. 10.1039/D3NR05523J10.1039/D3NR05523J ↗
15. 10.1016/j.cobme.2018.06.00110.1016/j.cobme.2018.06.001 ↗
16. 10.1038/s41565-023-01576-z10.1038/s41565-023-01576-z ↗
17. 10.1002/adma.20170090910.1002/adma.201700909 ↗
18. 10.1038/s41378-025-00873-y10.1038/s41378-025-00873-y ↗
19. 10.1002/adhm.20160143310.1002/adhm.201601433 ↗
20. A.Bianco A.Del Rio G.Varchi M. D.Parenti andV.Palermo “Assessment of the Potential Impact of Graphene Graphene Oxide and Other 2D Materials on Health and the Environment ”ECHA‐22‐R‐10‐EN (European Union Observatory for Nanomaterials (EUON) 2022) https://doi.org/10.2823/551125.
21. 10.3389/fnins.2021.61525610.3389/fnins.2021.615256 ↗
22. 10.1038/s41565-023-01570-510.1038/s41565-023-01570-5 ↗
23. 10.1002/adma.20110150310.1002/adma.201101503 ↗
24. 10.1038/ncomms625910.1038/ncomms6259 ↗
25. 10.1038/s42003-021-01670-910.1038/s42003-021-01670-9 ↗
26. 10.1088/2053-1591/ab771e10.1088/2053-1591/ab771e ↗
27. 10.1002/smll.20200760010.1002/smll.202007600 ↗
28. Transparent, Metal‐Free PEDOT:PSS Neural Interfaces for Simultaneous Recording of Low‐noise Electrophysiology and Artifact‐free Two‐photon Imaging
29. 10.1002/adhm.20240257610.1002/adhm.202402576 ↗
30. 10.1002/advs.20200443410.1002/advs.202004434 ↗
31. 10.1038/ncomms625810.1038/ncomms6258 ↗
32. 10.1038/nnano.2009.17710.1038/nnano.2009.177 ↗
33. 10.1063/1.360554510.1063/1.3605545 ↗
34. 10.1016/j.diamond.2025.11219510.1016/j.diamond.2025.112195 ↗
35. 10.1103/PhysRevLett.101.19640510.1103/PhysRevLett.101.196405 ↗
36. 10.1038/s41596-020-0389-210.1038/s41596-020-0389-2 ↗
37. 10.1021/acsmeasuresciau.2c0007010.1021/acsmeasuresciau.2c00070 ↗
38. 10.3390/bios603003610.3390/bios6030036 ↗
39. 10.1152/jn.00306.200710.1152/jn.00306.2007 ↗
40. 10.1162/NECO_a_0043310.1162/NECO_a_00433 ↗
41. 10.3389/fnins.2019.0038510.3389/fnins.2019.00385 ↗
42. 10.1016/j.brainresbull.2015.04.00710.1016/j.brainresbull.2015.04.007 ↗
43. 10.1002/adhm.20230340110.1002/adhm.202303401 ↗
44. 10.1038/nnano.2012.26510.1038/nnano.2012.265 ↗
45. 10.1002/smll.20220005310.1002/smll.202200053 ↗
46. S. D.Weidlich “Nanoscale 3D Structures Towards Improved Cell‐Chip Coupling on Microelectrode Arrays ” (PhD diss. RWTH Aachen University 2017).
47. 10.1109/TBME.2003.80948610.1109/TBME.2003.809486 ↗
48. 10.1088/1741-2552/abb3b410.1088/1741-2552/abb3b4 ↗
49. G. L.González S.Deng S.Vollebregt andV.Giagka “Transfer‐Free Fabrication and Characterisation of Transparent Multilayer CVD Graphene MEAs for in‐Vitro Optogenetic Applications ” in2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (IEEE 2024) 1–6.10.1109/MeMeA60663.2024.10596734 ↗
50. 10.1002/cre2.59210.1002/cre2.592 ↗
51. 10.1039/D4NH00282B10.1039/D4NH00282B ↗