CMOS接口与生物分子和细胞

Jeffrey Abbott, Tianyang Ye, Hongkun Park, D. Ham
{"title":"CMOS接口与生物分子和细胞","authors":"Jeffrey Abbott, Tianyang Ye, Hongkun Park, D. Ham","doi":"10.1109/ESSCIRC.2019.8902832","DOIUrl":null,"url":null,"abstract":"CMOS technology and its Moore’s Law scaling is an enormously successful technology paradigm that has continued to transform our computation and communication abilities. Outside the applications in computation and communication, CMOS technology has been increasingly applied to the life sciences, with a wealth of silicon integrated circuits developed to interface with biological molecules and cells. Concretely, large-scale arrays of active electrodes are integrated using CMOS technology for highly parallel electronic detection of biomolecular/ionic charges and cellular potentials for DNA sequencing, molecular diagnostics, and electrophysiology. Parallelism enabled by CMOS scalability is well suited to process the big data in these biotechnological applications. Here we offer a brief review on these CMOS-bio interfaces, while the corresponding presentation will focus on a sub-topic of CMOS electrophysiology with mammalian neurons.","PeriodicalId":402948,"journal":{"name":"ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"CMOS interface with biological molecules and cells\",\"authors\":\"Jeffrey Abbott, Tianyang Ye, Hongkun Park, D. Ham\",\"doi\":\"10.1109/ESSCIRC.2019.8902832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CMOS technology and its Moore’s Law scaling is an enormously successful technology paradigm that has continued to transform our computation and communication abilities. Outside the applications in computation and communication, CMOS technology has been increasingly applied to the life sciences, with a wealth of silicon integrated circuits developed to interface with biological molecules and cells. Concretely, large-scale arrays of active electrodes are integrated using CMOS technology for highly parallel electronic detection of biomolecular/ionic charges and cellular potentials for DNA sequencing, molecular diagnostics, and electrophysiology. Parallelism enabled by CMOS scalability is well suited to process the big data in these biotechnological applications. Here we offer a brief review on these CMOS-bio interfaces, while the corresponding presentation will focus on a sub-topic of CMOS electrophysiology with mammalian neurons.\",\"PeriodicalId\":402948,\"journal\":{\"name\":\"ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC)\",\"volume\":\"183 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESSCIRC.2019.8902832\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESSCIRC.2019.8902832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

CMOS技术及其摩尔定律缩放是一种非常成功的技术范例,它继续改变着我们的计算和通信能力。除了在计算和通信方面的应用外,CMOS技术也越来越多地应用于生命科学,开发了大量的硅集成电路来与生物分子和细胞进行接口。具体来说,利用CMOS技术集成了大规模的活性电极阵列,用于生物分子/离子电荷和细胞电位的高度并行电子检测,用于DNA测序、分子诊断和电生理学。CMOS可扩展性带来的并行性非常适合处理这些生物技术应用中的大数据。在这里,我们将简要回顾这些CMOS-生物接口,而相应的演讲将集中在哺乳动物神经元CMOS电生理学的子主题上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
CMOS interface with biological molecules and cells
CMOS technology and its Moore’s Law scaling is an enormously successful technology paradigm that has continued to transform our computation and communication abilities. Outside the applications in computation and communication, CMOS technology has been increasingly applied to the life sciences, with a wealth of silicon integrated circuits developed to interface with biological molecules and cells. Concretely, large-scale arrays of active electrodes are integrated using CMOS technology for highly parallel electronic detection of biomolecular/ionic charges and cellular potentials for DNA sequencing, molecular diagnostics, and electrophysiology. Parallelism enabled by CMOS scalability is well suited to process the big data in these biotechnological applications. Here we offer a brief review on these CMOS-bio interfaces, while the corresponding presentation will focus on a sub-topic of CMOS electrophysiology with mammalian neurons.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A 78 fs RMS Jitter Injection-Locked Clock Multiplier Using Transformer-Based Ultra-Low-Power VCO An Integrated Programmable High-Voltage Bipolar Pulser With Embedded Transmit/Receive Switch for Miniature Ultrasound Probes Machine Learning Based Prior-Knowledge-Free Calibration for Split Pipelined-SAR ADCs with Open-Loop Amplifiers Achieving 93.7-dB SFDR An 18 dBm 155-180 GHz SiGe Power Amplifier Using a 4-Way T-Junction Combining Network A Bidirectional Brain Computer Interface with 64-Channel Recording, Resonant Stimulation and Artifact Suppression in Standard 65nm CMOS
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1