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Recording Neural Activity Based on Surface Plasmon Resonance by Optical Fibers-A Computational Analysis

机译:基于表面等离子共振的光纤记录神经活动-计算分析

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摘要

An all optical, non-destructive method for monitoring neural activity has been proposed and its performance in detection has been analyzed computationally. The proposed method is based on excitation of Surface Plasmon Resonance (SPR) through the structure of optical fibers. The sensor structure consists of a multimode optical fiber where, the cladding of fiber has been removed and thin film of gold structure has been deposited on the surface. Impinging the laser light with appropriate wavelength inside the fiber and based on the total internal reflection, the evanescent wave will excite surface plasmons in the gold thin film. The absorption of light by surface plasmons in the gold structure is severely dependent on the dielectric properties at its vicinity. The electrical activity of neural cells (action potential) can modulate the dielectric properties at its vicinity and hence can modify the absorption of light inside the optical fiber. We have computationally analyzed the performance of the proposed sensor with different available geometries using Finite Element Method (FEM). In this regard, we have shown that the optical response of proposed sensor will track the action potential of the neuron at its vicinity. Based on different geometrical structure, the sensor has absorption in different regions of visible spectrum.
机译:提出了一种全光学,无损监测神经活动的方法,并通过计算分析了其在检测中的性能。所提出的方法基于通过光纤的结构激发表面等离子体共振(SPR)。传感器结构由多模光纤组成,其中光纤的包层已去除,金结构的薄膜已沉积在表面上。 appropriate逝波以适当的波长照射光纤内部并基于全内反射,reflection逝波将激发金薄膜中的表面等离激元。金结构中的表面等离子体激元对光的吸收严重取决于其附近的介电性能。神经细胞的电活动(动作电位)可以调节其附近的介电性能,因此可以改变光纤内部光的吸收。我们使用有限元方法(FEM)通过计算分析了所建议传感器在不同可用几何形状下的性能。在这方面,我们已经表明,提出的传感器的光学响应将跟踪神经元在其附近的动作电位。基于不同的几何结构,传感器在可见光谱的不同区域具有吸收。

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