A Portable Smartphone-Based Vector-Magnetometer Illuminated and Imaged via a Side-Polished-Fiber Functionalized With Magnetic Fluid

Chen, Yaofei; Hu, Yuchan; Zhang, Yaxin; Jiang, Zhupeng; Liu, Gui-Shi; Luo, Yunhan; Yu, Jianhui; Chen, Zhe

doi:10.1109/jsen.2019.2944978

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…The LED flash, CMOS camera, and microprocessor in the smartphone can perfectly function as the light source, optical detector, and processing system in a basic optical sensing system. Several smartphone-based optical fiber sensors and spectrometers have been reported [54][55][56][57][58][59]. In smartphone-based systems without external devices, such as a separate light source, MMF would be a more suitable choice, as LEDs only emit spatially incoherent light.…”

Section: Temperature and Strain Sensorsmentioning

confidence: 99%

Multimode optical fiber sensors: from conventional to machine learning-assisted

Wang,

Mizuno,

Dong

et al. 2023

Meas. Sci. Technol.

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Multimode fiber (MMF) sensors have been extensively developed and utilized in various sensing applications for decades. Traditionally, the performance of MMF sensors was improved by conventional methods that focused on structural design and specialty fibers. However, in recent years, the blossom of machine learning techniques has opened up new avenues for enhancing the performance of MMF sensors. Unlike conventional methods, machine learning techniques do not require complex structures or rare specialty fibers, which reduces fabrication difficulties and lowers costs. In this review, we provide an overview of the latest developments in MMF sensors, ranging from conventional methods to those assisted by machine learning. This article begins by categorizing MMF sensors based on their sensing applications, including temperature and strain sensors, displacement sensors, refractive index sensors, curvature sensors, bio/chemical sensors, and other sensors. Their distinct sensor structures and sensing properties are thoroughly reviewed. Subsequently, the machine learning-assisted MMF sensors that have been recently reported are analyzed and categorized into two groups: learning the specklegrams and learning the spectra. The review provides a comprehensive discussion and outlook on MMF sensors, concluding that they are expected to be utilized in a wide range of applications.

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Section: Temperature and Strain Sensorsmentioning

confidence: 99%

Multimode optical fiber sensors: from conventional to machine learning-assisted

Wang,

Mizuno,

Dong

et al. 2023

Meas. Sci. Technol.

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“…Due to rapid development of smartphones and other portable gadgets, there is a strong interest in applying them for interrogation of optical sensors [9]- [12], including fiber optic ones [1], [13]- [18]. Further development of such techniques will pave the way for low-cost, widespread and easily reconfigurable optical fiber sensing systems, easily integrated with existent telecommunication infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Smartphone-Based Interrogation of a Chirped FBG Strain Sensor Inscribed in a Multimode Fiber

Markvart

Лиокумович

Medvedev

et al. 2021

J. Lightwave Technol.

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Smartphone-based interrogation of a fiber Bragg grating sensor is, to the best of our knowledge, reported for the first time. The smartphone flashlight LED was used as a light source and a transmissive diffraction grating projected the CFBG spectra on the smartphone camera. In order to efficiently couple light from the smartphone LED to the fiber with CFBG, multimode fiber was used for inscription. Interrogation setup consists of a smartphone and low-cost off-the-shelf available components. Measurement principle was illustrated through the fiber strain caused by applied longitudinal force. Attained measurement sensitivity and resolution were validated via comparison with commercial spectrometer and theoretical results based on Cramer-Rao approach. Also, to the best of our knowledge, the influence of modal noise on the smartphone-based fiber optic sensor interrogation system performance is considered for the first time.

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“…Thus, various fiber sensors, as well as magnetic field-sensitive materials, have been presented to measure magnetic fields [3][4][5][6][7]. Among these research efforts, the fiber magnetic field sensors based on magnetic fluid (MF) have gained great attraction, because of the unique magneto-optic properties and the ease of integrating with optical fibers [8,9].…”

Section: Introductionmentioning

confidence: 99%

Optical fiber SPR magnetic field sensor based on photonic crystal fiber with the magnetic fluid as cladding

Zhu

Zhao

Lin

et al. 2021

Meas. Sci. Technol.

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In this paper, a novel optical fiber surface plasmon resonance (SPR) magnetic field sensor is proposed and experimentally demonstrated. The structure is fabricated by splicing a section of photonic crystal fiber between two multimode fibers. After the structure is coated with 10 nm Cr and 50 nm Au, the high refractive index (RI) sensitivity, from 1973.72 nm RIU−1 to 3223.32 nm RIU−1 in the range of 1.3326–1.3680, verifies the SPR sensor, which is higher than the structure based on single mode fiber with the same coating. In addition, the microscopic mechanism of the tunable characteristics of magnetic fluid RI with the ambient magnetic field is simulated by the molecular dynamics method. To measure the external magnetic field, the sensing region of the SPR sensor is fully inserted in a capillary tube, which is filled with magnetic fluid and sealed with UV glue. A maximum sensitivity of 4.42 nm mT−1 is achieved in the range of 0–24 mT, experimentally. Due to high sensitivity, simple manufacturing and compact size, the proposed sensor possesses attractive application prospects in environmental monitoring, power transmission and biomedical applications.

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A Portable Smartphone-Based Vector-Magnetometer Illuminated and Imaged via a Side-Polished-Fiber Functionalized With Magnetic Fluid

Cited by 8 publications

References 36 publications

Multimode optical fiber sensors: from conventional to machine learning-assisted

Multimode optical fiber sensors: from conventional to machine learning-assisted

Smartphone-Based Interrogation of a Chirped FBG Strain Sensor Inscribed in a Multimode Fiber

Optical fiber SPR magnetic field sensor based on photonic crystal fiber with the magnetic fluid as cladding

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