journal article·2015-11Open access

Biomimetic Microelectronics for Regenerative Neuronal Cuff Implants

Daniil Karnaushenko, Niko Münzenrieder, Dmitriy D. Karnaushenko, Britta Koch, Anne K. Meyer, Stefan Baunack, Luisa Petti, Gerhard Tröster, Denys Makarov, Oliver G. Schmidt

Advanced Materials· Volume 27· Issue 43

Abstract

Smart biomimetics, a unique class of devices combining the mechanical adaptivity of soft actuators with the imperceptibility of microelectronics, is introduced. Due to their inherent ability to self-assemble, biomimetic microelectronics can firmly yet gently attach to an inorganic or biological tissue enabling enclosure of, for example, nervous fibers, or guide the growth of neuronal cells during regeneration.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Advanced Sensor and Energy Harvesting Materials · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute for Integrative Nanosciences Institute for Solid State and Materials Research Dresden (IFW Dresden) 01069 Dresden Germany

Electronics Laboratory ETH Zürich Gloriastrasse 35 8092 Zürich Switzerland

Sensor Technology Research Center University of Sussex Falmer Brighton BN1 9QT UK

Material Systems for Nanoelectronics Chemnitz University of Technology 09107 Chemnitz Germany

Center for Advancing Electronics Dresden Dresden University of Technology 01062 Dresden Germany

Funding

European Research Council · European Commission · DFG Research Group

References (46)

Show source-provided references
1. 10.1002/adma.20140287810.1002/adma.201402878 ↗
2. 10.1038/am.2014.3210.1038/am.2014.32 ↗
3. 10.1002/adma.20140042010.1002/adma.201400420 ↗
4. 10.1016/j.addr.2012.02.01210.1016/j.addr.2012.02.012 ↗
5. 10.1016/j.addr.2012.09.02410.1016/j.addr.2012.09.024 ↗
6. 10.1016/j.mattod.2014.07.00210.1016/j.mattod.2014.07.002 ↗
7. 10.1038/ncomms266610.1038/ncomms2666 ↗
8. 10.1021/nl500136a10.1021/nl500136a ↗
9. 10.1038/srep0394710.1038/srep03947 ↗
10. 10.1038/nature1231410.1038/nature12314 ↗
11. 10.1038/am.2012.2710.1038/am.2012.27 ↗
12. 10.1038/ncomms398210.1038/ncomms3982 ↗
13. 10.1038/ncomms257310.1038/ncomms2573 ↗
14. 10.1002/app.4173510.1002/app.41735 ↗
15. 10.1002/adma.20120052310.1002/adma.201200523 ↗
16. 10.1126/scitranslmed.300718610.1126/scitranslmed.3007186 ↗
17. 10.1126/science.126031810.1126/science.1260318 ↗
18. 10.1111/j.1085-9489.2005.10303.x10.1111/j.1085-9489.2005.10303.x ↗
19. 10.1016/j.neures.2013.10.00110.1016/j.neures.2013.10.001 ↗
20. 10.1021/nl500795k10.1021/nl500795k ↗
21. 10.1021/nl303887b10.1021/nl303887b ↗
22. 10.1002/adem.20108002310.1002/adem.201080023 ↗
23. 10.1088/1741-2560/9/1/01601010.1088/1741-2560/9/1/016010 ↗
24. Powell H. C. · Lab. Invest. · 1986 · 55 · 91
25. 10.1002/(SICI)1097-4636(200005)50:2<215::AID-JBM17>3.0.CO;2-A10.1002/(SICI)1097-4636(200005)50:2<215::AID-JBM17>3.0.CO;2-A ↗
26. 10.1109/86.83094710.1109/86.830947 ↗
27. 10.1038/nn.390510.1038/nn.3905 ↗
28. 10.1007/s00249-004-0437-910.1007/s00249-004-0437-9 ↗
29. Obien M. E. J. · Front. Neurosci. · 2014 · 8
30. 10.1016/S1386-9477(99)00249-010.1016/S1386-9477(99)00249-0 ↗
31. 10.1038/3506552510.1038/35065525 ↗
32. 10.1021/bm200294510.1021/bm2002945 ↗
33. 10.1038/srep0728610.1038/srep07286 ↗
34. 10.1016/S0167-5729(99)00003-510.1016/S0167-5729(99)00003-5 ↗
35. 10.1007/s10143-010-0261-x10.1007/s10143-010-0261-x ↗
36. 10.3171/spi.2004.1.1.012210.3171/spi.2004.1.1.0122 ↗
37. Liu G. · Neural Regen. Res. · 2012 · 7 · 2299
38. 10.1007/s00289-006-0586-310.1007/s00289-006-0586-3 ↗
39. 10.1109/10.867010.1109/10.8670 ↗
40. 10.3928/0147-7447-19870501-1810.3928/0147-7447-19870501-18 ↗
41. 10.1016/j.jbiomech.2007.09.02610.1016/j.jbiomech.2007.09.026 ↗
42. 10.1038/nrn214810.1038/nrn2148 ↗
43. 10.1039/C3SM51921J10.1039/C3SM51921J ↗
44. 10.1038/am.2015.5310.1038/am.2015.53 ↗
45. 10.1002/adma.20150312710.1002/adma.201503127 ↗
46. 10.1109/LED.2013.228002410.1109/LED.2013.2280024 ↗