ArticleScientific reports2022
Femtosecond laser hierarchical surface restructuring for next generation neural interfacing electrodes and microelectrode arrays.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Hierarchically Restructured Antibacterial Electrodes for Neural Interfaces: Electrochemical and Microstructural Evolution under Extended Cycling.ACS applied materials & interfaces · 2026Article
- Nanophotonic neural probes for in vivo photostimulation, electrophysiology, and microfluidic delivery.Microsystems & nanoengineering · 2026Article
- Scaling beyond the vagus nerve: historical and contemporary progress on electrode-based small-diameter peripheral nerve interfaces.Bioelectronic medicine · 2026Review
- Laser Micromachining for Bioelectronics: Past, Present, and Future.Small methods · 2026Review
- Integrated hierarchical surface restructuring of assembled electrode arrays for next-generation neural interfaces.PloS one · 2026Article
- Article
- Dynamically autofocused 3D pulsed laser micromachining enables advanced 3D bioelectronics.Science advances · 2025Article
- Biomolecule-functionalized dental implant surfaces: Towards augmenting soft tissue integration.Bioactive materials · 2025Review
- Sustainability inspired fabrication of next generation neurostimulation and cardiac rhythm management electrodes via reactive hierarchical surface restructuring.Microsystems & nanoengineering · 2024Article
- Substrate topography affects PC12 cell differentiation through mechanotransduction mechanisms.Mechanobiology in medicine · 2024Article
- Development of antibacterial neural stimulation electrodes via hierarchical surface restructuring and atomic layer deposition.Scientific reports · 2023Article
- Advances in electrode interface materials and modification technologies for brain-computer interfaces.Biomaterials translational · 2023Review
- Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long-term implantable neural interfacing devices are able to diagnose, monitor, and treat many cardiac, neurological, retinal and hearing disorders through nerve stimulation, as well as sensing and recording electrical signals to and from neural tissue. To improve specificity, functionality, and performance of these devices, the electrodes and microelectrode arrays-that are the basis of most emerging devices-must be further miniaturized and must possess exceptional electrochemical performance and charge exchange characteristics with neural tissue. In this report, we show for the first time that the electrochemical performance of femtosecond-laser hierarchically-restructured electrodes can be tuned to yield unprecedented performance values that significantly exceed those reported in the literature, e.g. charge storage capacity and specific capacitance were shown to have improved by two orders of magnitude and over 700-fold, respectively, compared to un-restructured electrodes. Additionally, correlation amongst laser parameters, electrochemical performance and surface parameters of the electrodes was established, and while performance metrics exhibit a relatively consistent increasing behavior with laser parameters, surface parameters tend to follow a less predictable trend negating a direct relationship between these surface parameters and performance. To answer the question of what drives such performance and tunability, and whether the widely adopted reasoning of increased surface area and roughening of the electrodes are the key contributors to the observed increase in performance, cross-sectional analysis of the electrodes using focused ion beam shows, for the first time, the existence of subsurface features that may have contributed to the observed electrochemical performance enhancements. This report is the first time that such performance enhancement and tunability are reported for femtosecond-laser hierarchically-restructured electrodes for neural interfacing applications.
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Registered trials
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