The DOI matches its Crossref record; 34 of the 35 references it cites were found in a registry or an index.
Nanostructured platinum grass enables superior impedance reduction for neural microelectrodes
Open accessAbstract
Micro-sized electrodes are essential for highly sensitive communication at the neural interface with superior spatial resolution. However, such small electrodes inevitably suffer from high electrical impedance and thus high levels of thermal noise deteriorating the signal to noise ratio. In order to overcome this problem, a nanostructured Pt-coating was introduced as add-on functionalization for impedance reduction of small electrodes. In comparison to platinum black deposition, all used chemicals in the deposition process are free from cytotoxic components. The grass-like nanostructure was found to reduce the impedance by almost two orders of magnitude compared to untreated samples which was lower than what could be achieved with conventional electrode coatings like IrOx or PEDOT. The realization of the Pt-grass coating is performed via a simple electrochemical process which can be applied to virtually any possible electrode type and accordingly shows potential as a universal impedance reduction strategy. Elution tests revealed non-toxicity of the Pt-grass and the coating was found to exhibit strong adhesion to the metallized substrate.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The deposition processes for platinum black have reportedly caused cytotoxic reactions due to lead traces found in the electroplating electrolyte (Schuettler et al. 2005b). This was not observed for nanostructured platinum grass (Boehler et al. 2015).”
From Realizing flexible bioelectronic medicines for accessing the peripheral nerves – technology considerations (2018) · cites this paper as Boehler et al. 2015
Citations
Cites
Mosmann, T. (1983) · Journal of Immunological Methods · doi:10.1016/0022-1759(83)90303-4 · Cited by 56,104
Restoring natural sensory feedback in real-time bidirectional hand prostheses
Raspopovic, S., Capogrosso, M., Petrini, F. M., Bonizzato, M., Rigosa, J., Di Pino, G., Carpaneto, J., Controzzi, M., Boretius, T., Fernandez, E., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3006820 · Cited by 1,001
Self-citationThe electrical properties of metal microelectrodes
Robinson, D. A. (1968) · Proceedings of the IEEE · doi:10.1109/proc.1968.6458 · Cited by 459
Rose, T. L., & Robblee, L. S. (1990) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.61038 · Cited by 366
Deep Brain Stimulation for Psychiatric Disorders
Holtzheimer, P. E., & Mayberg, H. S. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113638 · Cited by 346
Micromachined, Polyimide-Based Devices for Flexible Neural Interfaces
Stieglitz, T., Beutel, H., Schuettler, M., & Meyer, J.-U. (2000) · Biomedical Microdevices · doi:10.1023/a:1009955222114 · Cited by 343
Self-citationSun, S., Jaouen, F., & Dodelet, J. (2008) · Advanced Materials · doi:10.1002/adma.200800491 · Cited by 331
Organic electrode coatings for next-generation neural interfaces
Robles, U. A. A., Woolley, A. J., Poole-Warren, L. A., Lovell, N. H., & Green, R. A. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00015 · Cited by 266
Substrate dependent stability of conducting polymer coatings on medical electrodes
Green, R. A., Hassarati, R. T., Bouchinet, L., Lee, C. S., Cheong, G. L. M., Yu, J., Dodds, C. W. D., Suaning, G. J., Poole-Warren, L. A., & Lovell, N. H. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2012.05.017 · Cited by 207
Tanihara, M., Suzuki, Y., Yamamoto, E., Noguchi, A., & Mizushima, Y. (2001) · Journal of Biomedical Materials Research · doi:10.1002/1097-4636(200108)56:2 · Cited by 205
Cited by
Sorted by citations
Piech, D. K., Johnson, B. C., Shen, K., Ghanbari, M. M., Li, K. Y., Neely, R. M., Kay, J. E., Carmena, J. M., Maharbiz, M. M., & Muller, R. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0518-9 · Cited by 442
Two-Dimensional Ti 3 C 2 MXene for High-Resolution Neural Interfaces
Driscoll, N., Richardson, A. G., Maleski, K., Anasori, B., Adewole, D. O., Lelyukh, P., Escobedo, L., Cullen, D. K., Lucas, T. H., Gogotsi, Y. G., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b06014 · Cited by 316
Boehler, C., Carli, S., Fadiga, L., Stieglitz, T., & Asplund, M. (2020) · Nature Protocols · doi:10.1038/s41596-020-0389-2 · Cited by 324
Self-citationMachine Learning‐Driven Biomaterials Evolution
Suwardi, A., Wang, F., Xue, K., Han, M., Teo, P., Wang, P., Wang, S., Liu, Y., Ye, E., Zibiao, L., et al. (2021) · Advanced Materials · doi:10.1002/adma.202102703 · Cited by 313
Emerging Modalities and Implantable Technologies for Neuromodulation
Won, S. M., Song, E., Reeder, J. T., & Rogers, J. A. (2020) · Cell · doi:10.1016/j.cell.2020.02.054 · Cited by 299
Graphene in the design and engineering of next‐generation neural interfaces
Kostarelos, K., Vincent, M., Hebert, C., & Garrido, J. A. (2017) · Advanced Materials · doi:10.1002/adma.201700909 · Cited by 206
Boehler, C., Oberueber, F., Schlabach, S., Stieglitz, T., & Asplund, M. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b13468 · Cited by 211
Self-citationHigh‐Performance Graphene‐Fiber‐Based Neural Recording Microelectrodes
Wang, K., Frewin, C. L., Esrafilzadeh, D., Yu, C., Wang, C., Pancrazio, J. J., Romero‐Ortega, M. I., Jalili, R., & Wallace, G. G. (2019) · Advanced Materials · doi:10.1002/adma.201805867 · Cited by 192
Gulino, M., Kim, D., Pané, S., Santos, S. D., & Pêgo, A. P. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00689 · Cited by 159
Wen, X., Wang, B., Huang, S., Liu, T. “., Lee, M., Chung, P., Chow, Y. T., Huang, I.-W., Monbouquette, H. G., Maidment, N. T., et al. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.01.060 · Cited by 162
A wearable freestanding electrochemical sensing system
Zhao, Y., Wang, B., Hojaiji, H., Wang, Z., Lin, S., Yeung, C. J., Lin, H., Nguyen, P., Chiu, K., Salahi, K., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz0007 · Cited by 145
Implantable intracortical microelectrodes: reviewing the present with a focus on the future
Wang, Y., Yang, X., Zhang, X., Wang, Y., & Pei, W. (2023) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00451-6 · Cited by 147
Optimal Electrode Size for Multi-Scale Extracellular-Potential Recording From Neuronal Assemblies
Viswam, V., Obien, M. E. J., Franke, F., Frey, U., & Hierlemann, A. R. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00385 · Cited by 136
Gold nanostructures: synthesis, properties, and neurological applications
Zare, I., Yaraki, M. T., Speranza, G., Najafabadi, A. H., Shourangiz-Haghighi, A., Nik, A. B., Manshian, B. B., Saraiva, C., Soenen, S. J., Kogan, M. J., et al. (2022) · Chemical Society Reviews · doi:10.1039/d1cs01111a · Cited by 133
Zeng, Q., & Huang, Z. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202301223 · Cited by 104
Conducting polymers for neuronal microelectrode array recording and stimulation
Aqrawe, Z., Montgomery, J. M., Travaš‐Sejdić, J., & Svirskis, D. M. (2017) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2017.11.023 · Cited by 92
Bianchi, M., Salvo, A. D., Asplund, M., Carli, S., Lauro, M. D., Schulze‐Bonhage, A., Stieglitz, T., Fadiga, L., & Biscarini, F. (2022) · Advanced Science · doi:10.1002/advs.202104701 · Cited by 93
Self-citationNanoPtA Nanostructured Electrode Coating for Neural Recording and Microstimulation
Boehler, C., Vieira, D. M., Egert, U., & Asplund, M. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b22798 · Cited by 88
Self-citationFiáth, R., Raducanu, B. C., Musa, S., Andrei, A., López, C. M., Hoof, C. A. V., Ruther, P., Aarts, A. A. A., Horváth, D., & Ulbert, I. (2018) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2018.01.060 · Cited by 81
Electrodeposited PEDOT:Nafion Composite for Neural Recording and Stimulation
Carli, S., Bianchi, M., Zucchini, E., Lauro, M. D., Prato, M., Murgia, M., Fadiga, L., & Biscarini, F. (2019) · Advanced Healthcare Materials · doi:10.1002/adhm.201900765 · Cited by 80
Micro- and nanotechnology for neural electrode-tissue interfaces
Liu, S., Zhao, Y., Hao, W., Zhang, X., & Ming, D. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112645 · Cited by 80
Scalable batch fabrication of ultrathin flexible neural probes using a bioresorbable silk layer
Cointe, C., Laborde, A., Nowak, L. G., Arvanitis, D. N., Bourrier, D., Bergaud, C., & Maziz, A. (2022) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00353-7 · Cited by 78
Neural interfaces engineered via micro- and nanostructured coatings
Chen, N., Tian, L., Patil, A. C., Peng, S., Yang, I. H., Thakor, N. V., & Ramakrishna, S. (2017) · Nano Today · doi:10.1016/j.nantod.2017.04.007 · Cited by 74
Boehler, C., Oberueber, F., & Asplund, M. (2019) · Journal of Controlled Release · doi:10.1016/j.jconrel.2019.05.017 · Cited by 70
Self-citationInterfacing with the Brain: How Nanotechnology Can Contribute
Ahmed, A. A. A., Alegret, N., Almeida, B., Álvarez‐Puebla, R. A., Andrews, A. M., Ballerini, L., Barrios‐Capuchino, J. J., Becker, C., Blick, R. H., Bonakdar, S., et al. (2025) · ACS Nano · doi:10.1021/acsnano.4c10525 · Cited by 71
Zeng, Q., Xia, K., Sun, B., Yin, Y., Wu, T., & Humayun, M. S. (2017) · Electrochimica Acta · doi:10.1016/j.electacta.2017.03.213 · Cited by 65
Giagka, V., & Serdijn, W. A. (2018) · Bioelectronic Medicine · doi:10.1186/s42234-018-0010-y · Cited by 58
Park, Y., Chung, T. S., Lee, G., & Rogers, J. A. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00639 · Cited by 62
Recording Quality Is Systematically Related to Electrode Impedance
Lewis, C. M., Boehler, C., Liljemalm, R., Fries, P., Stieglitz, T., & Asplund, M. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202303401 · Cited by 70
Self-citationAlcaide, M. J., Taylor, A., Fjorback, M. V., Zachar, V., & Pennisi, C. P. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00087 · Cited by 53
Electrochemical Evaluations of Fractal Microelectrodes for Energy Efficient Neurostimulation
Park, H., Takmakov, P. A., & Lee, H. (2018) · Scientific Reports · doi:10.1038/s41598-018-22545-w · Cited by 56
Engineering strategies towards overcoming bleeding and glial scar formation around neural probes
Otte, E., Vlachos, A., & Asplund, M. (2022) · Cell and Tissue Research · doi:10.1007/s00441-021-03567-9 · Cited by 54
Self-citationAqrawe, Z., Wright, B. E., Patel, N. D., Vyas, Y., Malmström, J., Montgomery, J. M., Williams, D. E., Travaš‐Sejdić, J., & Svirskis, D. M. (2018) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2018.10.099 · Cited by 49
Yin, P., Liu, Y., Xiao, L., & Zhang, C. (2021) · Polymers · doi:10.3390/polym13162834 · Cited by 42
An autonomous wearable system for diurnal sweat biomarker data acquisition
Hojaiji, H., Zhao, Y., Gong, M. C., Mallajosyula, M., Tan, J., Lin, H., Hojaiji, A. M., Lin, S., Milla, C. E., Madni, A. M., et al. (2020) · Lab on a Chip · doi:10.1039/d0lc00820f · Cited by 41
Chen, Z., Boyajian, N., Lin, Z., Yin, R. T., Obaid, S. N., Tian, J., Brennan, J. A., Chen, S. W., Miniovich, A. N., Lin, L., et al. (2021) · Advanced Materials Technologies · doi:10.1002/admt.202100225 · Cited by 38
Electrical Stimulation of Cells: Drivers, Technology, and Effects
Kadan-Jamal, K., Wronowski, F., Jin, A. T., Naegele, T. E., Montes, V. R., Tao, X., Dominguez‐Alfaro, A., Lee, C., & Malliaras, G. G. (2025) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00468 · Cited by 39
Vallejo‐Giraldo, C., Krukiewicz, K., Calaresu, I., Zhu, J., Palma, M., Fernández, M., McDowell, B. W., Peixoto, N., Farid, N., O’Connor, G. M., et al. (2018) · Small · doi:10.1002/smll.201800863 · Cited by 40
Zeng, Q., Yu, S., Fan, Z., Huang, Y., Song, B., & Zhou, T. (2022) · Nanomaterials · doi:10.3390/nano12193445 · Cited by 35
Biomimetic Nanostructures Fabricated by Nanoimprint Lithography for Improved Cell‐Coupling
Nowduri, B., Schulte, S., Decker, D., Schäfer, K., & Saumer, M. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202004227 · Cited by 36
Multifunctional Neural Interfaces for Closed‐Loop Control of Neural Activity
Chapman, C. A. R., Goshi, N., & Şeker, E. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201703523 · Cited by 38
Electroresponsive Hydrogels for Therapeutic Applications in the Brain
Khan, Z. M., Wilts, E. M., Vlaisavljevich, E., Long, T. E., & Verbridge, S. S. (2021) · Macromolecular Bioscience · doi:10.1002/mabi.202100355 · Cited by 37
Gao, W., Yan, Z., Zhou, H., Xie, Y., Wang, H., Yang, J., Yu, J., Ni, C., Liu, P., Xie, M., et al. (2025) · Journal of Nanobiotechnology · doi:10.1186/s12951-025-03573-x · Cited by 38
Harland, B. C., Aqrawe, Z., Vomero, M., Boehler, C., Cheah, E., Raos, B. J., Asplund, M., O’Carroll, S. J., & Svirskis, D. M. (2022) · Advanced Science · doi:10.1002/advs.202105913 · Cited by 30
Self-citationMicro/Nano Technologies for High-Density Retinal Implant
Zeng, Q., Zhao, S., Yang, H., Zhang, Y., & Wu, T. (2019) · Micromachines · doi:10.3390/mi10060419 · Cited by 32
Wang, B., Wen, X., Cao, Y. F., Huang, S., Lam, H. A., Liu, T. “., Chung, P., Monbouquette, H. G., Chiou, P.-Y. E., & Maidment, N. T. (2020) · Lab on a Chip · doi:10.1039/d0lc00021c · Cited by 29
Wang, B., Wen, X., Chiou, P.-Y. E., & Maidment, N. T. (2019) · Electroanalysis · doi:10.1002/elan.201900362 · Cited by 28
Shokoohimehr, P., Čepkenović, B., Miloš, F., Bednár, J., Hassani, H., Maybeck, V., & Offenhäusser, A. (2022) · Small · doi:10.1002/smll.202200053 · Cited by 28
Amini, S., Seche, W., May, N., Choi, H., Tavousi, P., & Shahbazmohamadi, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-18161-4 · Cited by 28
Zeng, Q., Xia, K., Zhang, Y., & Wu, T. (2019) · Advanced Materials Interfaces · doi:10.1002/admi.201900356 · Cited by 27
Lee, J., Gänswein, T., Uluşan, H., Emmenegger, V., Saguner, A. M., Duru, F., & Hierlemann, A. R. (2022) · ACS Sensors · doi:10.1021/acssensors.2c01678 · Cited by 25
Rapid prototyping of flexible intrafascicular electrode arrays by picosecond laser structuring
Mueller, M. C., de la Oliva, N., del Valle, J., Delgado-Martínez, I., Navarro, X., & Stieglitz, T. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa7eea · Cited by 25
Self-citationEffects of nanostructuration on the electrochemical performance of metallic bioelectrodes
Mobini, S., González, M. U., Caballero‐Calero, O., Patrick, E. E., Martín‐González, M., & García‐Martín, J. M. (2022) · Nanoscale · doi:10.1039/d1nr06280h · Cited by 23
Fiáth, R., Hofer, K. T., Csikós, V., Horváth, D., Nánási, T., Tóth, K., Pothof, F., Böhler, C., Asplund, M., Ruther, P., et al. (2018) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2017-0154 · Cited by 25
Self-citationIn vitro and in vivo stability of black-platinum coatings on flexible, polymer microECoG arrays
Zátonyi, A., Fedor, F. Z., Borhegyi, Z., & Fekete, Z. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aacf71 · Cited by 26
Fabrication of Ti3C2 MXene Microelectrode Arrays for In Vivo Neural Recording
Driscoll, N., Maleski, K., Richardson, A. G., Murphy, B. B., Anasori, B., Lucas, T. H., Gogotsi, Y. G., & Vitale, F. (2020) · Journal of Visualized Experiments · doi:10.3791/60741 · Cited by 24
Zhao, Q., Zhu, M. J., Tian, G., Liang, C., Liu, Z., Huang, J., Yu, Q. Y., Tang, S., Chen, J., Zhao, X., et al. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202203344 · Cited by 23
Deciphering platinum dissolution in neural stimulation electrodes: Electrochemistry or biology?
Shah, D., Carter, P., Shivdasani, M. N., Fong, N., Duan, W., Esrafilzadeh, D., Poole-Warren, L. A., & Robles, U. A. A. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.122575 · Cited by 28
Lee, Y. J., Kim, H., Kang, J. Y., Hee, S., & Lee, S. H. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201601022 · Cited by 23
Self-supporting carbon nanotube films as flexible neural interfaces
Krukiewicz, K., Janas, D. W., Vallejo‐Giraldo, C., & Biggs, M. J. P. (2018) · Electrochimica Acta · doi:10.1016/j.electacta.2018.10.157 · Cited by 23
Think big, see small—A review of nanomaterials for neural interfaces
Zeng, Q., Li, X., Zhang, S., Deng, C., & Wu, T. (2021) · Nano Select · doi:10.1002/nano.202100256 · Cited by 23
Qian, S., Lin, H., Pan, Q., Zhang, S., Zhang, Y., Geng, Z. H., Wu, Q. Y., He, Y. W., & Zhu, B. (2023) · Bioactive Materials · doi:10.1016/j.bioactmat.2023.02.010 · Cited by 24
Advanced Electrical and Optical Microsystems for Biointerfacing
Obaid, S. N., Chen, Z., & Lu, L. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000091 · Cited by 21
Functional Two-Dimensional Materials for Bioelectronic Neural Interfacing
Akbari, M. K., Lopa, N. S., Shahriari, M., Najafzadehkhoee, A., Galusek, D., & Zhuiykov, S. (2023) · Journal of Functional Biomaterials · doi:10.3390/jfb14010035 · Cited by 21
Highly Porous Platinum Electrodes for Dry Ear-EEG Measurements
Eickenscheidt, M., Schäfer, P., Baslan, Y., Schwarz, C., & Stieglitz, T. (2020) · Sensors · doi:10.3390/s20113176 · Cited by 20
Self-citationSim, S., Shin, H., Bae, K., Han, H., Kang, Y., Woo, J., Cho, Y., Cho, I., & Kim, J. (2023) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2023.134124 · Cited by 19
An Implantable Biohybrid Neural Interface Toward Synaptic Deep Brain Stimulation
Sifringer, L., Fratzl, A., Clément, B., Chansoria, P., Mönkemöller, L. S., Duru, J., Ihle, S. J., Steffens, S., Beltraminelli, A., Ceylan, E., et al. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202416557 · Cited by 23
Kelly, A., Farid, N., Krukiewicz, K., Belisle, N., Groarke, J. D., Waters, E. M., Trotier, A., Laffir, F. R., Kilcoyne, M., O’Connor, G. M., et al. (2020) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.9b01321 · Cited by 18
System for recording from multiple flexible polyimide neural probes in freely behaving animals
van Daal, R. J. J., Sun, J.-J., Ceyssens, F., Michon, F., Kraft, M., Puers, R., & Kloosterman, F. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab5e19 · Cited by 18
Lichtenstein, M. P., Pérez, E., Ballesteros, L. A., Sunol, C. E., & Casañ-Pastor, N. (2017) · Applied Materials Today · doi:10.1016/j.apmt.2016.12.002 · Cited by 19
Ramesh, V., Stratmann, N., Schaufler, V., Angelov, S. D., Nordhorn, I. D., Heissler, H. E., Martínez‐Hincapié, R., Čolić, V., Rehbock, C., Schwabe, K., et al. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202102637 · Cited by 18
Kleber, C., Lienkamp, K., Rühe, J., & Asplund, M. (2019) · Advanced Biosystems · doi:10.1002/adbi.201900072 · Cited by 18
Self-citationArray-wide uniform PEDOT:PSS electroplating from potentiostatic deposition
Shin, Y., Ryu, J., Bai, T., Qiang, Y., Qi, Y., Li, G., Huang, Y., Seo, K. J., & Fang, H. (2024) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2024.116418 · Cited by 17
Torres-Martinez, N., Crétallaz, C., Ratel, D., Mailley, P., Gaude, C., Costecalde, T., Hébert, C., Bergonzo, P., Scorsone, E., Mazellier, J.-P., et al. (2019) · Bioelectrochemistry · doi:10.1016/j.bioelechem.2019.05.007 · Cited by 18
Maiolo, L., Polese, D., & Convertino, A. (2019) · Advances in Physics X · doi:10.1080/23746149.2019.1664319 · Cited by 20
Vandekerckhove, B., Missinne, J., Vonck, K. E. J., Bauwens, P., Verplancke, R., Boon, P., Raedt, R., & Vanfleteren, J. (2020) · Micromachines · doi:10.3390/mi12010038 · Cited by 17
Koenen, S., Rehbock, C., Heissler, H. E., Angelov, S. D., Schwabe, K., Krauss, J. K., & Barcikowski, S. (2017) · ChemPhysChem · doi:10.1002/cphc.201601180 · Cited by 15
3D conductive material strategies for modulating and monitoring cells
Li, X., Mao, M., Han, K., Yao, C., Gu, B., He, J., & Li, D. (2022) · Progress in Materials Science · doi:10.1016/j.pmatsci.2022.101041 · Cited by 14
Li, L., Jiang, C., & Li, L. (2023) · Micromachines · doi:10.3390/mi15010070 · Cited by 13
Aqrawe, Z., Patel, N. D., Vyas, Y., Bansal, M., Montgomery, J. M., Travaš‐Sejdić, J., & Svirskis, D. M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237709 · Cited by 13
Nanostructured platinum as an electrochemically and mechanically stable electrode coating
Boehler, C., Oberueber, F., Stieglitz, T., & Asplund, M. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037009 · Cited by 13
Self-citationRamesh, V., Rehbock, C., Giera, B., Karnes, J. J., Forien, J., Angelov, S. D., Schwabe, K., Krauss, J. K., & Barcikowski, S. (2021) · Langmuir · doi:10.1021/acs.langmuir.1c01081 · Cited by 14
Cortelli, G., Grob, L., Patruno, L., Cramer, T., Mayer, D., Fraboni, B., Wolfrum, B. L., & de Miranda, S. (2023) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.2c21921 · Cited by 12
It's the little things: On the complexity of planar electrode heating in MRI
Erhardt, J. B., Lottner, T., Martinez, J., Özen, A. Ç., Schüettler, M., Stieglitz, T., Ennis, D. B., & Bock, M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.061 · Cited by 12
Self-citationYang, X., Pei, W., Wei, C., Yang, X., Zhang, H., Wang, Y., Yuan, M., Gui, Q., Liu, Y., Wang, Y., et al. (2022) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2022.114022 · Cited by 11
Khosla, H., Seche, W., Ammerman, D., Elyahoodayan, S., Caputo, G. A., Hettinger, J. D., Amini, S., & Feng, G. (2023) · Scientific Reports · doi:10.1038/s41598-023-47256-9 · Cited by 11
Porous PU/PEDOT:PSS electrodes for probing bioelectricity in Oscillatoria sp. Cohorts
Cotta, F. C., Correia, D., Amaral, R., Bacellar, F. L., Duci, D., Lopes, L., Cortes, L., Zalar, P., Perkins, R. G., & Rocha, P. R. F. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.155480 · Cited by 11
Neural Electrode Based on 3D Microscale/Nanoscale Porous Graphene Structures for Neural Stimulation
Movaghgharnezhad, S., Kim, H., Khan, M. A., Ross, S. E., Kim, B. G., & Kang, P. (2024) · ACS Applied Nano Materials · doi:10.1021/acsanm.4c03772 · Cited by 11
Highly Flexible Precisely Braided Multielectrode Probes and Combinatorics for Future Neuroprostheses
Kim, T., Schmidt, K., Deemie, C., Wycech, J., Liang, H., & Giszter, S. F. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00613 · Cited by 9
Fabrication of vertically aligned PEDOT nanotube arrays on microelectrodes to interface neurons
Chen, H., Tian, G., Yan, H., Yang, S., & Kim, D. (2021) · Electrochimica Acta · doi:10.1016/j.electacta.2021.139583 · Cited by 11
Ramesh, V., Giera, B., Karnes, J. J., Stratmann, N., Schaufler, V., Li, Y., Rehbock, C., & Barcikowski, S. (2022) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ac51f8 · Cited by 11
Page, N., Lucchi, J., Buchan, J., Fones, A., Hamilton, H., Scabarozi, T. H., Yu, L., Amini, S., & Hettinger, J. D. (2021) · Materials Today Communications · doi:10.1016/j.mtcomm.2021.102967 · Cited by 11
Krukiewicz, K., Fernández, J., Skorupa, M., Więcławska, D., Poudel, A., Sarasua, J.-R., Quinlan, L. R., & Biggs, M. J. P. (2019) · BMC Biomedical Engineering · doi:10.1186/s42490-019-0010-3 · Cited by 11
Acquisition of bioelectrical signals with small electrodes
Viswam, V., Obien, M. E. J., Frey, U., Franke, F., & Hierlemann, A. R. (2017) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2017.8325216 · Cited by 10
Slippery Epidural ECoG Electrode for High-Performance Neural Recording and Interface
Alahi, M. E. E., Liu, Y., Khademi, S., Nag, A., Wang, H., Wu, T., & Mukhopadhyay, S. C. (2022) · Biosensors · doi:10.3390/bios12111044 · Cited by 10
Toward the Next Generation of Neural Iontronic Interfaces
Forró, C., Musall, S., Montes, V. R., Linkhorst, J., Walter, P., Weßling, M., Offenhäusser, A., Ingebrandt, S., Weber, Y. G., Lampert, A., et al. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202301055 · Cited by 8
Vajrala, V. S., Elkhoury, K., Pautot, S., Bergaud, C., & Maziz, A. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115182 · Cited by 9
Improving Fast Ripples Recording With Model-Guided Design of Microelectrodes
Harrach, M. A., Dauly, G., Mousavi, H., Dieuset, G., Benquet, P., Ismailova, E., & Wendling, F. (2023) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2023.3250763 · Cited by 9
Evaluation of Polymer-Coated Carbon Nanotube Flexible Microelectrodes for Biomedical Applications
Ruhunage, C. K., Dhawan, V., Nawarathne, C. P., Hoque, A., Cui, X. T., & Alvarez, N. T. (2023) · Bioengineering · doi:10.3390/bioengineering10060647 · Cited by 9
Jiao, Y., Miao, L., Zhu, J., Chang, R., & Qu, X. (2023) · PubMed Central · doi:10.12336/biomatertransl.2023.04.003 · Cited by 9
Metadata
- Authors
- Boehler, C., Stieglitz, T., & Asplund, M.
- Affiliations
- University of Freiburg (DE)
- Corresponding author
- Boehler, C.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 67
- Pages
- 346-353
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W1190686642
- Cited by
- 179
- References
- 35
- Citations by year
- 2026: 16 · 2025: 19 · 2024: 19 · 2023: 21 · 2022: 21 · 2021: 17 · 2020: 19 · 2019: 22 · 2018: 10 · 2017: 11 · 2016: 4
- FWCI
- 3.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Biomaterials (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- FreiDok plus (Universitätsbibliothek Freiburg) (submittedVersion)
- Funders
- German Research Foundation (EXC 1086)
- Freiburg Institute for Advanced Studies (FRIAS), funded by the German Excellence Initiative
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
- Physical Sciences › Chemistry › Electrochemistry › Electrochemical Analysis and Applications
- Keywords
- neural microelectrodes, platinum coating, platinum black, electrodeposition, neural interfaces, thermal noise, signal-to-noise ratio, electrode functionalization, cytotoxicity, coating adhesion
- MeSH terms
- Cell Survival, Humans, Imides, Microelectrodes, Neurons, Platinum, Electric Impedance, Cell Line, Tumor, Nanostructures, Electrochemical Techniques, Optical Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
