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최영빈

Tchoe, Youngbin
Neural Interfaces and Semiconductor Optoelectronics Lab
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Low-Power Fully Integrated 256-Channel Nanowire Electrode-on-Chip Neural Interface for Intracellular Electrophysiology

Author(s)
Wang, JunLiu, RenTchoe, YoungbinBuccino, Alessio PaoloPaul, AkshayPre, DeborahD'Antonio-Chronowska, AgnieszkaKelly, Frazer A.Bang, Anne G.Kim, ChulDayeh, ShadiCauwenberghs, Gert
Issued Date
2025-02
DOI
10.1109/TBCAS.2024.3407794
URI
https://scholarworks.unist.ac.kr/handle/201301/87165
Citation
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, v.19, no.1, pp.196 - 208
Abstract
Intracellular electrophysiology, a vital and versatile technique in cellular neuroscience, is typically conducted using the patch-clamp method. Despite its effectiveness, this method poses challenges due to its complexity and low throughput. The pursuit of multi-channel parallel neural intracellular recording has been a long-standing goal, yet achieving reliable and consistent scaling has been elusive because of several technological barriers. In this work, we introduce a micropower integrated circuit, optimized for scalable, high-throughput in vitro intrinsically intracellular electrophysiology. This system is capable of simultaneous recording and stimulation, implementing all essential functions such as signal amplification, acquisition, and control, with a direct interface to electrodes integrated on the chip. The electrophysiology system-on-chip (eSoC), fabricated in 180nm CMOS, measures 2.236 mm x 2.236 mm. It contains four 8 x 8 arrays of nanowire electrodes, each with a 50 mu m pitch, placed over the top-metal layer on the chip surface, totaling 256 channels. Each channel has a power consumption of 0.47 mu W, suitable for current stimulation and voltage recording, and covers 80 dB adjustable range at a sampling rate of 25 kHz. Experimental recordings with the eSoC from cultured neurons in vitro validate its functionality in accurately resolving chemically induced multi-unit intracellular electrical activity.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN
1932-4545
Keyword (Author)
multi-electrode arrays (MEAs)Neural interfaceintracellular recordingmicropower instrumentation
Keyword
CMOS NANOELECTRODE ARRAYAMPLIFIERMICROELECTRODE ARRAY

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