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Chronic behavior evaluation of a micro-machined neural implant with optimized design based on an experimentally derived model

机译:基于实验衍生模型的优化设计的微机械神经植入物的慢性行为评估

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摘要

Understanding the mechanical interactions between implants and the surrounding tissue is known to have an important role for improving the bio-compatibility of such devices. Using a recently developed model, a particular micro-machined neural implant design aiming the reduction of insertion forces dependence on the insertion speed was optimized. Implantations with 10 and 100 μm/s insertion speeds showed excellent agreement with the predicted behavior. Lesion size, gliosis (GFAP), inflammation (ED1) and neuronal cells density (NeuN) was evaluated after 6 week of chronic implantation showing no insertion speed dependence.
机译:已知了解植入物与周围组织之间的机械相互作用对于改善此类设备的生物相容性具有重要作用。使用最近开发的模型,针对减少插入力对插入速度的依赖性的特定微机械神经植入物设计进行了优化。植入速度为10和100μm/ s的植入物与预测的行为表现出极好的一致性。慢性植入6周后评估病灶大小,神经胶质增生(GFAP),炎症(ED1)和神经元细胞密度(NeuN),显示无插入速度依赖性。

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