Mind In Vitro Platforms: Versatile, Scalable, Robust, and Open Solutions to Interfacing with Living Neurons

Author:

Zhang Xiaotian1ORCID,Dou Zhi2,Kim Seung Hyun2,Upadhyay Gaurav2,Havert Daniel3,Kang Sehong2,Kazemi Kimia2,Huang Kai‐Yu4,Aydin Onur1,Huang Raymond2,Rahman Saeedur2,Ellis‐Mohr Austin5,Noblet Hayden A.67,Lim Ki H.6,Chung Hee Jung1678,Gritton Howard J.89,Saif M. Taher A.12,Kong Hyun Joon14,Beggs John M.3,Gazzola Mattia12ORCID

Affiliation:

1. Carl R. Woese Institute for Genomic Biology University of Illinois at Urbana–Champaign Urbana IL 61801 USA

2. Department of Mechanical Science and Engineering University of Illinois at Urbana–Champaign Urbana IL 61801 USA

3. Department of Physics Indiana University Bloomington Bloomington IN 47405 USA

4. Department of Chemical and Biomolecular Engineering University of Illinois at Urbana–Champaign Urbana IL 61801 USA

5. Department of Electrical and Computer Engineering University of Illinois at Urbana–Champaign Urbana IL 61801 USA

6. Molecular and Integrative Physiology University of Illinois at Urbana–Champaign Urbana IL 61801 USA

7. Neuroscience Program University of Illinois at Urbana–Champaign Urbana IL 61801 USA

8. Beckman Institute for Advanced Science and Technology University of Illinois at Urbana–Champaign Urbana IL 61801 USA

9. Department of Comparative Biosciences University of Illinois at Urbana–Champaign Urbana IL 61802 USA

Abstract

AbstractMotivated by the unexplored potential of in vitro neural systems for computing and by the corresponding need of versatile, scalable interfaces for multimodal interaction, an accurate, modular, fully customizable, and portable recording/stimulation solution that can be easily fabricated, robustly operated, and broadly disseminated is presented. This approach entails a reconfigurable platform that works across multiple industry standards and that enables a complete signal chain, from neural substrates sampled through micro‐electrode arrays (MEAs) to data acquisition, downstream analysis, and cloud storage. Built‐in modularity supports the seamless integration of electrical/optical stimulation and fluidic interfaces. Custom MEA fabrication leverages maskless photolithography, favoring the rapid prototyping of a variety of configurations, spatial topologies, and constitutive materials. Through a dedicated analysis and management software suite, the utility and robustness of this system are demonstrated across neural cultures and applications, including embryonic stem cell‐derived and primary neurons, organotypic brain slices, 3D engineered tissue mimics, concurrent calcium imaging, and long‐term recording. Overall, this technology, termed “mind in vitro” to underscore the computing inspiration, provides an end‐to‐end solution that can be widely deployed due to its affordable (>10× cost reduction) and open‐source nature, catering to the expanding needs of both conventional and unconventional electrophysiology.

Funder

National Science Foundation

Publisher

Wiley

Cited by 3 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

1. Directed Information Flow in Computing Systems with Living Neurons;2024 IEEE International Symposium on Information Theory Workshops (ISIT-W);2024-07-07

2. Open and remotely accessible Neuroplatform for research in wetware computing;Frontiers in Artificial Intelligence;2024-05-02

3. Neuronal innervation regulates the secretion of neurotrophic myokines and exosomes from skeletal muscle;Proceedings of the National Academy of Sciences;2024-04-29

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