Mr. Fangzhu Zheng Profile

Fangzhu Zheng

at Huaqiao Univ

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Proceedings Article | 19 December 2022 Poster

Fluorescent visualized refractive index sensor assisted by convolutional neural network

Fangzhu Zheng

Proceedings Volume 12321, 123210X (2022) https://doi.org/10.1117/12.2642202

KEYWORDS: Visualization, Refractive index, Sensors, Convolutional neural networks, Visual optics, Optical sensors, Luminescence, Environmental sensing, Environmental monitoring, Polymers

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Here we propose a visualized optical sensor based on two parallel dye-doped polymer microfibers (DPMFs) which are coupling together. The coupling region is considered the sensing unit. The fluorescence in the DPMFs is excited by the waveguiding excitation method and recorded in the microscopic images. The periodic energy distribution could be found along the coupling region, which is sensitive to the ambient refractive index (RI). The convolutional neural network (CNN) is introduced to analyze the periodic fluorescent image. With the input neurons being the structural parameters of the sensing unit, the energy distribution periods are accurately predicted by CNN according to their fluorescence images obtained under different ambient refractive indices. Further, the relationship between the periodic length and the environmental RI is established and when the RI is in the range of 1.0 ~ 1.3, the sensitivity of this visualized sensor is about 1.0 μm/RIU. This CNN-assisted visualized optical sensor, which could intuitively exhibit the change of the refractive index of the environment, has strong robustness to sensing structural parameter changes and great potential application in environmental monitoring such as gas or liquid.

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