High-Precision Multidimensional Photosensor Based on Hybrid Optofluidic Microbubble Resonator

Bing DUAN; Xuan ZHANG; Xiaochong YU; Yixuan ZHAO; Jinhui CHEN; Yongpan GAO; Cheng WANG; Daquan YANG

doi:10.1007/s13320-025-0768-y

High-Precision Multidimensional Photosensor Based on Hybrid Optofluidic Microbubble Resonator

Bing DUAN, Xuan ZHANG, Xiaochong YU^*, Yixuan ZHAO, Jinhui CHEN, Yongpan GAO, Cheng WANG, Daquan YANG^*

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Optical microcavities combined with different materials have inspired many kinds of functional photonic devices, such as lasers, memories, and sensors. Among them, optofluidic microbubble resonators with intrinsic micro-channels and high-quality factors (high-Q) have been considered intriguing platforms for the combination with liquid materials, such as the hydrogel and liquid crystal. Here, we demonstrate a water-infiltrated hybrid optofluidic microcavity for the precise multidimensional measurement of the external laser field. The laser power can be precisely measured based on the photo-thermal conversion, while the wavelength-resolved measurement is realized with the intrinsic absorption spectrum of water. Empowered by machine learning, the laser power and wavelength are precisely decoupled with almost all predictions falling within the 99% prediction bands. The correlation coefficient R² of the laser power and wavelength are as high as 0.999 85 and 0.999 54, respectively. This work provides a new platform for high-precision multidimensional measurement of the laser field, which can be further expanded to arbitrary band laser measurement by combining different materials. © The Author(s) 2025.

Original language	English
Article number	250310
Number of pages	10
Journal	Photonic Sensors
Volume	15
Issue number	3
Online published	11 Apr 2025
DOIs	https://doi.org/10.1007/s13320-025-0768-y
Publication status	Online published - 11 Apr 2025

Funding

This work was supported by the National Key Research and Development Program, China (Grant No. SQ2023YFB2805600); Beijing Municipal Natural Science Foundation, China (Grant No. Z210004); National Natural Science Foundation of China (Grant Nos. 12474372 and 12474429); the Fundamental Research Funds for the Central Universities, China (Grant No. 2243300003); Beijing Nova Program from Beijing Municipal Science and Technology Commission, China (Grant No. 20230484433); State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, China (Grant No. IPOC2021ZT01).

Research Keywords

Hybrid microcavity
machine learning
multidimensional laser measurement

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abstract = "Optical microcavities combined with different materials have inspired many kinds of functional photonic devices, such as lasers, memories, and sensors. Among them, optofluidic microbubble resonators with intrinsic micro-channels and high-quality factors (high-Q) have been considered intriguing platforms for the combination with liquid materials, such as the hydrogel and liquid crystal. Here, we demonstrate a water-infiltrated hybrid optofluidic microcavity for the precise multidimensional measurement of the external laser field. The laser power can be precisely measured based on the photo-thermal conversion, while the wavelength-resolved measurement is realized with the intrinsic absorption spectrum of water. Empowered by machine learning, the laser power and wavelength are precisely decoupled with almost all predictions falling within the 99% prediction bands. The correlation coefficient R2 of the laser power and wavelength are as high as 0.999 85 and 0.999 54, respectively. This work provides a new platform for high-precision multidimensional measurement of the laser field, which can be further expanded to arbitrary band laser measurement by combining different materials. {\textcopyright} The Author(s) 2025.",

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author = "Bing DUAN and Xuan ZHANG and Xiaochong YU and Yixuan ZHAO and Jinhui CHEN and Yongpan GAO and Cheng WANG and Daquan YANG",

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AU - DUAN, Bing

AU - ZHANG, Xuan

AU - YU, Xiaochong

AU - ZHAO, Yixuan

AU - CHEN, Jinhui

AU - GAO, Yongpan

AU - WANG, Cheng

AU - YANG, Daquan

PY - 2025/4/11

Y1 - 2025/4/11

N2 - Optical microcavities combined with different materials have inspired many kinds of functional photonic devices, such as lasers, memories, and sensors. Among them, optofluidic microbubble resonators with intrinsic micro-channels and high-quality factors (high-Q) have been considered intriguing platforms for the combination with liquid materials, such as the hydrogel and liquid crystal. Here, we demonstrate a water-infiltrated hybrid optofluidic microcavity for the precise multidimensional measurement of the external laser field. The laser power can be precisely measured based on the photo-thermal conversion, while the wavelength-resolved measurement is realized with the intrinsic absorption spectrum of water. Empowered by machine learning, the laser power and wavelength are precisely decoupled with almost all predictions falling within the 99% prediction bands. The correlation coefficient R2 of the laser power and wavelength are as high as 0.999 85 and 0.999 54, respectively. This work provides a new platform for high-precision multidimensional measurement of the laser field, which can be further expanded to arbitrary band laser measurement by combining different materials. © The Author(s) 2025.

AB - Optical microcavities combined with different materials have inspired many kinds of functional photonic devices, such as lasers, memories, and sensors. Among them, optofluidic microbubble resonators with intrinsic micro-channels and high-quality factors (high-Q) have been considered intriguing platforms for the combination with liquid materials, such as the hydrogel and liquid crystal. Here, we demonstrate a water-infiltrated hybrid optofluidic microcavity for the precise multidimensional measurement of the external laser field. The laser power can be precisely measured based on the photo-thermal conversion, while the wavelength-resolved measurement is realized with the intrinsic absorption spectrum of water. Empowered by machine learning, the laser power and wavelength are precisely decoupled with almost all predictions falling within the 99% prediction bands. The correlation coefficient R2 of the laser power and wavelength are as high as 0.999 85 and 0.999 54, respectively. This work provides a new platform for high-precision multidimensional measurement of the laser field, which can be further expanded to arbitrary band laser measurement by combining different materials. © The Author(s) 2025.

KW - Hybrid microcavity

KW - machine learning

KW - multidimensional laser measurement

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High-Precision Multidimensional Photosensor Based on Hybrid Optofluidic Microbubble Resonator

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