Scalable Three-Dimensional Recording Electrodes for Probing Biological Tissues

Lee, Jung Min; Lin, Dingchang; Hong, Guosong; Kim, Kyoung-Ho; Park, Hong-Gyu; Lieber, Charles M.

doi:10.1021/acs.nanolett.2c01444

Cited by 11 publications

(13 citation statements)

References 57 publications

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“…The probes (fig. S1) consist of double-sided platinum electrodes ( 27 ) embedded in the polymerbased mesh-like region and connected through a stem to the input/output (I/O) structure that provides an electrical interface for external recording as described previously ( 28 ). Surface functionalization of the mesh region is based on standard covalent coupling chemistry ( 29 ) that uses the carboxyl (-COOH) groups on the surface of the SU-8 polymer resulting from the oxygen plasma treatment at the end of probe fabrication ( 30 ).…”

Section: Resultsmentioning

confidence: 99%

Biochemically-functionalized probes for cell type-specific targeting and recording in the brain

Zhang,

Zwang,

Lieber

2023

Preprint

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Selective targeting and modulation of distinct cell types and neuron subtypes is central to understanding complex neural circuitry, and could enable electronic treatments that target specific circuits while minimizing off-target effects. However, current brain-implantable electronics have not yet achieved cell-type specificity. We address this challenge by functionalizing flexible mesh electronic probes, which elicit minimal immune response, with antibodies or peptides to target specific cell markers. Histology studies reveal selective association of targeted neurons, astrocytes and microglia with functionalized probe surfaces without accumulating off-target cells. In vivo chronic electrophysiology further yields recordings consistent with selective targeting of these cell types. Last, probes functionalized to target dopamine 2 receptor expressing neurons show the potential for neuron subtype specific targeting and electrophysiology.

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Section: Resultsmentioning

confidence: 99%

Biochemically-functionalized probes for cell type-specific targeting and recording in the brain

Zhang,

Zwang,

Lieber

2023

Preprint

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“…By matching the subcellular feature sizes and mechanical properties of cells, the 3D implantable bioelectronics could be seamlessly integrated with organoids and tissues to achieve recording of neural activities in brain, [7,25,48,[185][186][187][188][189][190][191] as well as mapping of the action potential propagation in cardiac tissues. [49,[192][193][194][195]…”

Section: Implantable Type Bioelectronics For Organoidsmentioning

confidence: 99%

“…To better fulfill the requirements of cell electrophysiology recording, the longterm stability, high spatial and temporal resolution, design versatility and device miniaturization, represent four key design considerations of nanostructured bioelectronic devices. In these devices, the most important components are the nanostructured electrodes [21][22][23][24][25][26][27] or field-effect transistors (FETs). [28][29][30][31][32][33][34][35][36][37][38] In the recording of cell membrane and transmembrane potential, the electrodes have advantages in high-density and low-cost fabrication, but have difficulties in low-amplitude cell signals and picking up subthreshold, because of the intrinsically large impedance.…”

Section: Introductionmentioning

confidence: 99%

Bioelectric Interface Technologies in Cells and Organoids

Xue,

Zhao

2023

Adv Materials Inter

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The past two decades have witnessed breakthroughs in cellular‐scale bioelectronics and their widespread applications in life sciences, creating many powerful platforms for studying organisms directly and efficiently. These advanced devices can integrate seamlessly and intimately onto/into target cells and organoids, providing unprecedented functions and revolutionary capabilities. Bioelectronics with nanostructured designs are developed to allow for long‐term, stable monitoring of electrophysiological activities. This review summarizes nanostructured bioelectronics for cell electrophysiology recording, emphasizing the crucial roles of structural designs on functions and capabilities, e.g., intracellular access, high‐density multiplexed recording, multifunctional interfaces and the conformability to curvy biological shapes. Finally, the remaining challenges and opportunities in nanostructured bioelectronics are identified, and perspectives on the future developments toward their practical applications are provided.

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Section: Introductionmentioning

confidence: 99%

Soft Bioelectronics Using Nanomaterials and Nanostructures for Neuroengineering

Kim,

Lee,

Nam

et al. 2024

Acc. Chem. Res.

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Metrics & MoreArticle Recommendations CONSPECTUS:The identification of neural networks for large areas and the regulation of neuronal activity at the single-neuron scale have garnered considerable attention in neuroscience. In addition, detecting biochemical molecules and electrically, optically, and chemically controlling neural functions are key research issues. However, conventional rigid and bulky bioelectronics face challenges for neural applications, including mechanical mismatch, unsatisfactory signal-to-noise ratio, and poor integration of multifunctional components, thereby degrading the sensing and modulation performance, long-term stability and biocompatibility, and diagnosis and therapy efficacy. Implantable bioelectronics have been developed to be mechanically compatible with the brain environment by adopting advanced geometric designs and utilizing intrinsically stretchable materials, but such advances have not been able to address all of the aforementioned challenges.Recently, the exploration of nanomaterial synthesis and nanoscale fabrication strategies has facilitated the design of unconventional soft bioelectronics with mechanical properties similar to those of neural tissues and submicrometer-scale resolution comparable to typical neuron sizes. The introduction of nanotechnology has provided bioelectronics with improved spatial resolution, selectivity, single neuron targeting, and even multifunctionality. As a result, this state-of-the-art nanotechnology has been integrated with bioelectronics in two main types, i.e., bioelectronics integrated with synthesized nanomaterials and bioelectronics with nanoscale structures. The functional nanomaterials can be synthesized and assembled to compose bioelectronics, allowing easy customization of their functionality to meet specific requirements. The unique nanoscale structures implemented with the bioelectronics could maximize the performance in terms of sensing and stimulation. Such soft nanobioelectronics have demonstrated their applicability for neuronal recording and modulation over a long period at the intracellular level and incorporation of multiple functions, such as electrical, optical, and chemical sensing and stimulation functions.In this Account, we will discuss the technical pathways in soft bioelectronics integrated with nanomaterials and implementing nanostructures for application to neuroengineering. We traced the historical development of bioelectronics from rigid and bulky structures to soft and deformable devices to conform to neuroengineering requirements. Recent approaches that introduced nanotechnology into neural devices enhanced the spatiotemporal resolution and endowed various device functions. These soft nanobioelectronic technologies are discussed in two categories: bioelectronics with synthesized nanomaterials and bioelectronics with nanoscale structures. We describe nanomaterial-integrated soft bioelectronics exhibiting various functionalities and modalities depending on the integrated nanomaterials. Meanwhile, soft bioelect...

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Scalable Three-Dimensional Recording Electrodes for Probing Biological Tissues

Cited by 11 publications

References 57 publications

Biochemically-functionalized probes for cell type-specific targeting and recording in the brain

Biochemically-functionalized probes for cell type-specific targeting and recording in the brain

Bioelectric Interface Technologies in Cells and Organoids

Soft Bioelectronics Using Nanomaterials and Nanostructures for Neuroengineering

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