A Scalable and Adaptive Ultra-high-density Fan-out Strategy for High-throughput Flexible Microelectrodes

Author:

Zhang Huiling,Wang Yang,Yang Xinze,Yuan Miao,Yang Xiaowei,Gui Qiang,Wang Yijun,Chen Hongda,Liu Ruping,Pei Weihua

Abstract

AbstractFlexible neural microelectrodes demonstrate higher compliance and better biocompatibility than rigid electrodes. They have multiple microfilaments can be freely distributed across different brain regions. However, high-density fan-out of high-throughput flexible microelectrodes remains a challenge since monolithic integration between electrodes and circuits is not currently available as it is for silicon electrodes. Here, we proposed a high-density fan-out strategy for high-throughput flexible electrodes. The flexible electrodes are partially overlapped on the printed circuit board (PCB). A modified wire bonding method is used to reduce the pads area on the PCB. Both the traces and pads on the PCB are optimized to minimize the back-end package. It is significantly reducing the connection area. In addition, the vertical rather than horizontal connection between the connector and the PCB further decrease the volume of the package. 1024 channel flexible electrodes are bonded to the high-density PCB within an area of 11.8×10mm2, and the success connection rate can reach 100%. The high-density fan-out strategy proposed in this paper can effectively reduce the volume of high-throughput flexible electrodes after packaging, which facilitates the miniaturization of in vivo multichannel recording devices and contributes to long-term recording.

Publisher

Cold Spring Harbor Laboratory

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3