Influence of microchannel geometry on device performance and electrophysiological recording fidelity during long-term studies of connected neural populations.
Influence of microchannel geometry on device performance and electrophysiological recording fidelity during long-term studies of connected neural populations.
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DOI：
10.1039/d2lc00683a
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发表时间：
2022-10-11
期刊：
影响因子：
6.1
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中科院分区：
文献类型：
--
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区室化微流体神经细胞培养平台使用一系列微通道将轴突与神经体物理分离，已被用于研究广泛的病理状况和基本神经科学问题。虽然每项研究都有不同的实验需求，但这些设备的基本设计基本上保持不变，并且缺乏以这种形式建立长期神经培养物的系统研究。在这里，我们研究了微通道几何形状和细胞接种密度对设备性能的影响，特别是在突触连接但流体隔离的神经元和神经胶质细胞群的长期研究背景下。在不同的实验参数中，微通道高度是器件性能的主要决定因素，其他参数为针对特定应用定制此类器件提供了额外的自由度。我们将这些参数的影响浓缩为设计规则，并证明它们在设计具有集成微电极阵列的微流控神经培养平台中的实用性。该工程装置成功地在体外对原代大鼠皮层细胞进行了 59 天的记录，微通道中的信噪比增强了一个数量级以上。
Compartmentalized microfluidic neural cell culture platforms, which physically separate axons from the neural soma using a series of microchannels, have been used for studying a wide range of pathological conditions and basic neuroscience questions. While each study has different experimental needs, the fundamental design of these devices has largely remained unchanged and a systematic study to establish long-term neural cultures in this format is lacking. Here, we investigate the influence of microchannel geometry and cell seeding density on device performance particularly in the context of long-term studies of synaptically-connected, yet fluidically-isolated neural populations of neurons and glia. Of the different experimental parameters, the microchannel height was the principal determinant of device performance, where the other parameters offer additional degrees of freedom in customizing such devices for specific applications. We condense the effects of these parameters into design rules and demonstrate their utility in engineering a microfluidic neural culture platform with integrated microelectrode arrays. The engineered device successfully recorded from primary rat cortical cells for 59 days in vitro with more than on order of magnitude enhancement in signal-to-noise ratio in the microchannels.
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影响因子：
17.1
作者：
Froeter, Paul;Huang, Yu;Cangellaris, Olivia V.;Huang, Wen;Dent, Erik W.;Gillette, Martha U.;Williams, Justin C.;Li, Xiuling
通讯作者：
Li, Xiuling
影响因子：
2.5
作者：
Le Berre, Mael;Aubertin, Johannes;Piel, Matthieu
通讯作者：
Piel, Matthieu
影响因子：
4.3
作者：
Lewandowska MK;Radivojević M;Jäckel D;Müller J;Hierlemann AR
通讯作者：
Hierlemann AR
影响因子：
6.1
作者：
Hosmane, Suneil;Yang, In Hong;Venkatesan, Arun
通讯作者：
Venkatesan, Arun
影响因子：
6.1
作者：
Honegger, Thibault;Scott, Mark A.;Voldman, Joel
通讯作者：
Voldman, Joel