Advanced Biomimetic Nanostructured Microelectrode Arrays for Enhanced Extracellular Recordings of Enteric Neurons

نویسندگان

چکیده

Microelectrode surfaces covered with nanostructures derived from components of extracellular matrix, such as collagen fibers, have shown immense beneficial effects in promoting neuronal growth and cellular signaling. Synthetic mimicking the features biological durable conductive materials could promote cell adhesion on microelectrode by providing topographical cues simultaneously improve charge transfer properties reducing its global impedance. Therefore, an advanced nanostructuring method structural organizational natural fibers onto metallic has been presented here, which is adapted previous technological achievements group based nanoimprint lithography gold electroplating. Surface characterization methods reveal increase surface area between 20% 68% microelectrodes fabricated two different nanostructure heights. Impedance spectroscopy measurements reduction impedance magnitude (at 1 kHz) 22% 41%, depending upon height density microelectrode, should subsequently modulate for biosensing application. Cell analysis performed seal reveals a tighter coupling enteric neurons nanostructured microelectrodes. Finally, recordings exhibit significant improvement spike detection

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Implantable microelectrode arrays for simultaneous electrophysiological and neurochemical recordings.

Implantable microfabricated microelectrode arrays represent a versatile and powerful tool to record electrophysiological activity across multiple spatial locations in the brain. Spikes and field potentials, however, correspond to only a fraction of the physiological information available at the neural interface. In urethane-anesthetized rats, microfabricated microelectrode arrays were implanted...

متن کامل

Statistical Methods of Analysis and Visualization of Extracellular Microelectrode Recordings

—Determining neuronal structures during stereotactic surgery in Parkinson’s disease (PD) patients is a prerequisite for optimal placement of deep brain stimulation electrodes and/or neuronal ablation. This study describes statistical signal processing methods that automatically analyze microelectrode recordings and display a neurophysiological brainmap of the stereotactic trajectory. The sponta...

متن کامل

Segmentation of Extracellular Microelectrode Recordings with Equal Power

—We describe a segmentation algorithm for extracellular microelectrode recordings identifying segments with equal power. The observed temporal correlation of the microelectrode data was accounted for by estimating the variance of the autocovariance of the segments. The iterative method of comparing segments and determining abrupt changes in the power was validated on synthetic signals and micro...

متن کامل

Microelectrode Arrays

The development of implantable devices which enable fully wireless transmission of brain signals, recorded by microelectrode arrays (MEA) as dynamical neural circuit information, is one important goal for advancing human neuroprostheses. Current brain sensing research for prostheses via first clinical trials is offering tantalizing glimpses for the future, even if these technologies are cumbers...

متن کامل

Computationally efficient simulation of extracellular recordings with multielectrode arrays.

In this paper we present a novel, computationally and memory efficient way of modeling the spatial dependency of measured spike waveforms in extracellular recordings of neuronal activity. We use compartment models to simulate action potentials in neurons and then apply linear source approximation to calculate the resulting extracellular spike waveform on a three dimensional grid of measurement ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Advanced Materials Interfaces

سال: 2023

ISSN: ['2196-7350']

DOI: https://doi.org/10.1002/admi.202300023