signal recording
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Author(s):  
Zhengjie Liu ◽  
Dongxin Xu ◽  
Jiaru Fang ◽  
Qijian Xia ◽  
Wenxi Zhong ◽  
...  

The electrophysiological signal can reflect the basic activity of cardiomyocytes, which is often used to study the working mechanism of heart. Intracellular recording is a powerful technique for studying transmembrane potential, proving a favorable strategy for electrophysiological research. To obtain high-quality and high-throughput intracellular electrical signals, an integrated electrical signal recording and electrical pulse regulating system based on nanopatterned microelectrode array (NPMEA) is developed in this work. Due to the large impedance of the electrode, a high-input impedance preamplifier is required. The high-frequency noise of the circuit and the baseline drift of the sensor are suppressed by a band-pass filter. After amplifying the signal, the data acquisition card (DAQ) is used to collect the signal. Meanwhile, the DAQ is utilized to generate pulses, achieving the electroporation of cells by NPMEA. Each channel uses a voltage follower to improve the pulse driving ability and isolates each electrode. The corresponding recording control software based on LabVIEW is developed to control the DAQ to collect, display and record electrical signals, and generate pulses. This integrated system can achieve high-throughput detection of intracellular electrical signals and provide a reliable recording tool for cell electro-physiological investigation.


Author(s):  
Jeongpil Park ◽  
Jihye Bong ◽  
Yei Hwan Jung ◽  
Jack Kegel ◽  
Boyuan Liu ◽  
...  

Micromachines ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1061
Author(s):  
Junyu Shen ◽  
Yanyan Xu ◽  
Zhengwen Xiao ◽  
Yuebo Liu ◽  
Honghui Liu ◽  
...  

Integrated optrodes for optogenetics have been becoming a significant tool in neuroscience through the combination of offering accurate stimulation to target cells and recording biological signals simultaneously. This makes it not just be widely used in neuroscience researches, but also have a great potential to be employed in future treatments in clinical neurological diseases. To optimize the integrated optrodes, this paper aimed to investigate the influence of surface material and illumination upon the performance of the microelectrode/electrolyte interface and build a corresponding evaluation system. In this work, an integrated planar optrode with a blue LED and microelectrodes was designed and fabricated. The charge transfer mechanism on the interface was theoretically modeled and experimentally verified. An evaluation system for assessing microelectrodes was also built up. Using this system, the proposed model of various biocompatible surface materials on microelectrodes was further investigated under different illumination conditions. The influence of illumination on the microelectrode/electrolyte interface was the cause of optical artifacts, which interfere the biological signal recording. It was found that surface materials had a great effect on the charge transfer capacity, electrical stability and recoverability, photostability, and especially optical artifacts. The metal with better charge transfer capacity and electrical stability is highly possible to have a better performance on the optical artifacts, regardless of its electrical recoverability and photostability under the illumination conditions of optogenetics. Among the five metals used in our investigation, iridium served as the best surface material for the proposed integrated optrodes . Thus, optimizing the surface material for optrodes could reduce optical interference, enhance the quality of the neural signal recording for optogenetics, and thus help to advance the research in neuroscience.


2021 ◽  
Vol 8 (15) ◽  
pp. 2170095
Author(s):  
Yeontaek Lee ◽  
Hyogeun Shin ◽  
Dongwon Lee ◽  
Sungah Choi ◽  
Il‐Joo Cho ◽  
...  

2021 ◽  
pp. 2100231
Author(s):  
Yeontaek Lee ◽  
Hyogeun Shin ◽  
Dongwon Lee ◽  
Sungah Choi ◽  
Il‐Joo Cho ◽  
...  

2021 ◽  
pp. 2100646
Author(s):  
Mengjia Zhu ◽  
Huimin Wang ◽  
Shuo Li ◽  
Xiaoping Liang ◽  
Mingchao Zhang ◽  
...  

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