人工神经网络
计算机科学
炸薯条
神经细胞
神经突
声波
声表面波
生物神经网络
生物系统
纳米技术
材料科学
细胞
声学
人工智能
物理
电信
化学
生物
体外
生物化学
机器学习
作者
Manuel S. Brugger,Sarah Grundeen,Adele M. Doyle,Luke Theogarajan,A. Wixforth,Christoph Westerhausen
出处
期刊:Physical review
[American Physical Society]
日期:2018-07-18
卷期号:98 (1): 012411-012411
被引量:30
标识
DOI:10.1103/physreve.98.012411
摘要
For the investigation of cell-cell interaction in general and for neural communication and future applications of neural networks, a controllable and well-defined network structure is crucial. We here propose the implementation of an acoustically driven system for tunable and deliberate stimulation and manipulation of cell growth on a chip. This piezoelectric chip allows us to generate a checkerboard-like standing surface acoustic wave pattern coupled to a fluid layer in a microfluidic chamber on top. Such a dynamically induced patterning lattice is shown to allow for the active positioning of the neurons and subsequent guided neurite outgrowth, thus finally overcoming the limitations of static approaches. After thorough characterization of the resulting tunable potential landscape, we successfully demonstrate cell adhesion and even growth of the such positioned cells within the well-defined pressure nodes. We demonstrate neuron growth at predetermined positions and observe a subsequent neurite outgrowth, even being correlated with the artificial potential landscape. For the very delicate and sensitive primary neural cells, this is a change of paradigm! Our experimental findings give us confidence that our hybrid lab-on-a-chip system in the near future will allow researchers to study cell-cell interaction of primary neurons. If scaled to a true network level, it will enable us to control and study how neural networks connect, interact, and communicate.
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