Single-chip microelectronic system to interface with living cells
Single-chip microelectronic system to interface with living cells
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DOI：
10.1016/j.bios.2006.10.003
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发表时间：
2007-05-15
影响因子：
12.6
通讯作者：
Hierlemann, A.
中科院分区：
文献类型：
--
作者：
Heer, F.;Hafizovic, S.;Hierlemann, A.
神经细胞或网络的高度连通性和协调的电活动被认为是大脑能够进行高度复杂的信息处理的原因。同样，动物心脏的有效性很大程度上取决于这种协调的细胞活动。为了加深我们对这些复杂生物系统的理解，需要高时空分辨率技术来监测细胞电活动以及细胞和记录设备之间理想的无缝交互。在这里，我们提出了一种采用互补金属氧化物半导体（CMOS）技术的单片微系统，该系统在标准电子技术和培养的生电细胞之间提供双向通信（刺激和记录）。该微芯片可以直接用作细胞培养的基质，它的每个电极都具有用于刺激和即时细胞信号处理的电路单元，并且它提供片上信号转换以及数字接口，因此可以在卓越的信号质量下实现非常快速、几乎实时的交互（从事件识别到例如定义的刺激的循环时间为2毫秒）。将呈现神经元和心脏细胞培养物的相应自发和刺激电活动记录。该系统可用于研究神经网络的发育、揭示神经元可塑性的影响以及研究响应药物治疗的细胞或网络活动。 (c) 2006 Elsevier B.V. 保留所有权利。
A high degree of connectivity and the coordinated electrical activity of neural cells or networks are believed to be the reason that the brain is capable of highly sophisticated information processing. Likewise, the effectiveness of an animal heart largely depends on such coordinated cell activity. To advance our understanding of these complex biological systems, high spatiotemporal-resolution techniques to monitor the cell electrical activity and an ideally seamless interaction between cells and recording devices are desired.Here we present a monolithic microsystem in complementary metal oxide semiconductor (CMOS) technology that provides bidirectional communication (stimulation and recording) between standard electronics technology and cultured electrogenic cells. The microchip can be directly used as a substrate for cell culturing, it features circuitry units per electrode for stimulation and immediate cell signal treatment, and it provides on-chip signal transformation as well as a digital interface so that a very fast, almost real-time interaction (2 ms loop time from event recognition to, e.g., a defined stimulation) is possible at remarkable signal quality. The corresponding spontaneous and stimulated electrical activity recordings with neuronal and cardiac cell cultures will be presented.The system can be used to, e.g., study the development of neural networks, reveal the effects of neuronal plasticity and study cellular or network activity in response to pharmacological treatments. (c) 2006 Elsevier B.V. All rights reserved.