Commercial development of microwire bundle technology for massively parallel neural recording.

用于大规模并行神经记录的微线束技术的商业开发。

• 批准号: 9254605
• 负责人: Matthew R Angle
• 金额: $ 39.85万
• 依托单位: PARADROMICS, INC.
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-05 至 2018-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9254605
• 关键词: Action Potentials; Architecture; Brain; Caliber; Collaborations; Communities; Complex; Computer software; Data; Data Analyses; Data Storage and Retrieval; Deposition; Development; Devices; Electrodes; Electronics; Face; Film; Funding; Glass; Goals; Hair; Head; Health behavior; Human; Image; Individual; Industry; International; Intuition; Laboratories; Laboratory Research; Light; Measures; Mechanics; Metals; Methods; Microelectrodes; Neurons; Neurosciences; Optical Methods; Output; Partner in relationship; Polishes; Price; Probability; Process; Reproducibility; Research; Resolution; Sampling; Semiconductors; Series; Silicon; Site; Speed; Surface; System; Techniques; Technology; Thinness; Time; Universities; Work; arm; base; brain tissue; data acquisition; design; experimental study; flexibility; flexible electronics; improved; in vivo; innovation; micromanipulator; multi-electrode arrays; neural circuit; novel strategies; open source; prototype; public health relevance; relating to nervous system; scale up; sensor; tool; voltage

 DESCRIPTION (provided by applicant): This proposal describes a novel approach for recording from tens of thousands of neurons simultaneously using bundles of microwires that are each smaller than a human hair. To accomplish this, thousands of microwires are bundled together, with one end being inserted into the brain and the other being bonded to a high-speed image sensor chip that reads out the voltages on each wire. The sensor output can then be acquired to a PC using standard frame-grabber technology. This approach was developed as part of an international collaboration between the research laboratories of Andreas Schaefer (UCL, UK) and Nicholas Melosh (Stanford University, CA). The company Paradromics was created specifically to develop the academic prototype system into a robust commercial product. Significance - Neural circuits are composed of many thousands of neurons, and information is encoded within these networks by the relative timing of action potentials (1-4). In order to understand how neural circuits behave and how they impact human health and behavior, new techniques are necessary that can resolve the individual spiking activity of many thousands of neurons simultaneously (2, 5, 6). Here we propose a technology that is not only capable of sampling tens of thousands of channels, but can do so in vivo, at depths where non-invasive optical methods are infeasible. Innovation - Our approach is innovative because it combines two highly scalable technologies for the first time ever: high resolution CMOS camera sensors and microwire bundles (7). Our prototype device uses bundles of tens of thousands of wires, and a 640x512 sensor chip (8), but in principle we can scale up both bundles and sensors to millions of channels without any architectural changes. Approach - Here we propose to turn an exciting new laboratory prototype into a turnkey research tool for neuroscience labs around the world. To accomplish this, we propose a series of simple but important improvements to our existing prototype system that will enable us to increase the number of available recording channels by drastically improving bundle-sensor connectivity. We also propose to develop data acquisition software that will make using the system as simple and intuitive as possible. Market - We estimate there are approximately 5,000 active multi-channel recording systems, each with an average less than 100 channels. Our first product will have > 300,000 channels. Two of our systems will therefore be capable of recording from more neurons simultaneously than all of the other multi- channel recording systems in the world combined. Further, because we are harnessing already- developed CMOS technology, we think that we can provide these systems for a price comparable to existing multi-channel recording systems from major suppliers.

 描述(由申请人提供)：这项提案描述了一种新的方法，可以使用每根都比人类头发还小的微线束来同时记录数万个神经元。为了实现这一点，数千条微线被捆绑在一起，一端插入大脑，另一端连接到高速图像传感器芯片上，读出每条线上的电压。然后可以使用标准的图像采集卡技术将传感器输出采集到PC上。这种方法是作为安德烈亚斯·谢弗(英国伦敦大学学院)和尼古拉斯·梅洛什(斯坦福大学，加利福尼亚州)研究实验室之间国际合作的一部分而开发的。ParadRomics公司是专门为将学术原型系统开发成强大的商业产品而创建的。意义-神经回路由数千个神经元组成，信息在这些网络中通过动作电位的相对时序(1-4)进行编码。为了了解神经电路的行为以及它们如何影响人类的健康和行为，有必要采用新的技术来同时解决数千个神经元的个体放电活动(2，5，6)。在这里，我们提出了一种技术，它不仅能够对数万个通道进行采样，而且可以在体内做到这一点，在非侵入性光学方法无法实现的深处。创新-我们的方法是创新的，因为它首次结合了两项高度可扩展的技术：高分辨率CMOS相机传感器和微线束(7)。我们的原型设备使用数万根电线和一个640x512传感器芯片(8)，但原则上我们可以在不改变任何架构的情况下将捆绑和传感器扩展到数百万个通道。方法-在这里，我们建议将一个令人兴奋的新实验室原型转变为世界各地神经科学实验室的交钥匙研究工具。为了实现这一点，我们对我们现有的原型系统提出了一系列简单但重要的改进，使我们能够通过显著改进束传感器连接来增加可用记录通道的数量。我们还建议开发数据采集软件，使系统的使用尽可能简单和直观。市场-我们估计大约有5,000个活跃的多声道记录系统，每个平均不到100个声道。我们的第一款产品将拥有30万个频道。因此，我们的两个系统将能够同时从更多的神经元进行记录，比世界上所有其他多通道记录系统的总和还要多。此外，由于我们正在利用已经开发的CMOS技术，我们认为我们可以以与主要供应商现有的多声道录音系统相当的价格提供这些系统。

项目成果

The Argo: a high channel count recording system for neural recording in vivo.

Argo：用于体内神经记录的高通道计数记录系统。

• DOI: 10.1088/1741-2552/abd0ce
• 发表时间: 2021-02-24
• 期刊: Journal of neural engineering
• 影响因子: 4
• 作者: Sahasrabuddhe K;Khan AA;Singh AP;Stern TM;Ng Y;Tadić A;Orel P;LaReau C;Pouzzner D;Nishimura K;Boergens KM;Shivakumar S;Hopper MS;Kerr B;Hanna MS;Edgington RJ;McNamara I;Fell D;Gao P;Babaie-Fishani A;Veijalainen S;Klekachev AV;Stuckey AM;Luyssaert B;Kozai TDY;Xie C;Gilja V;Dierickx B;Kong Y;Straka M;Sohal HS;Angle MR
• 通讯作者: Angle MR