Machine Learning approach for fiber-based biosensor

Hadrien Fasseaux; Médéric Loyez; Christophe Caucheteur

doi:10.1364/OFS.2023.W4.4

28th International Conference on Optical Fiber Sensors
Technical Digest Series (Optica Publishing Group, 2023),
paper W4.4
•https://doi.org/10.1364/OFS.2023.W4.4

Machine Learning approach for fiber-based biosensor

Hadrien Fasseaux, Médéric Loyez, and Christophe Caucheteur

Optical Fiber Sensors 2023

Naka-ku, Hamamatsu-shi Japan
20–24 November 2023
ISBN: 978-1-957171-30-2

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Poster Session II (W4)

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H. Fasseaux, M. Loyez, and C. Caucheteur, "Machine Learning approach for fiber-based biosensor," in 28th International Conference on Optical Fiber Sensors, Technical Digest Series (Optica Publishing Group, 2023), paper W4.4.

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Abstract

Common fiber-based biosensors demodulations quantify refractive index (RI) changes occurring for analyte-receptor bindings through wavelength changes. We use a machine learning model to quantify evolutions in RI unit without having to measure the sensor sensitivity.

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