Deep Learning for Temperature Sensing With Microstructure Fiber in Noise Perturbation Environment

Gao, Xinliang; Wu, Jixuan; Song, Binbin; Liu, Haifeng; Duan, Shaoxiang; Zhang, Zhuo; Liu, Xiao; Sun, Hanchao

doi:10.1109/lpt.2023.3313584

Cited by 2 publications

(1 citation statement)

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“…Currently, optical fiber specklegram sensors have been widely considered. They are able to achieve parameter measurements using relatively simple and inexpensive devices while still maintaining the advantages of traditional fiber sensors [12][13][14][15]. Consequently, there is a certain research significance in expanding optical fiber sensing technology.…”

Section: Introductionmentioning

confidence: 99%

A Multimode Microfiber Specklegram Biosensor for Measurement of CEACAM5 through AI Diagnosis

Liu,

Lin,

Zhao

et al. 2024

Biosensors

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Carcinoembryonic antigen (CEACAM5), as a broad-spectrum tumor biomarker, plays a crucial role in analyzing the therapeutic efficacy and progression of cancer. Herein, we propose a novel biosensor based on specklegrams of tapered multimode fiber (MMF) and two-dimensional convolutional neural networks (2D-CNNs) for the detection of CEACAM5. The microfiber is modified with CEA antibodies to specifically recognize antigens. The biosensor utilizes the interference effect of tapered MMF to generate highly sensitive specklegrams in response to different CEACAM5 concentrations. A zero mean normalized cross-correlation (ZNCC) function is explored to calculate the image matching degree of the specklegrams. Profiting from the extremely high detection limit of the speckle sensor, variations in the specklegrams of antibody concentrations from 1 to 1000 ng/mL are measured in the experiment. The surface sensitivity of the biosensor is 0.0012 (ng/mL)−1 within a range of 1 to 50 ng/mL. Moreover, a 2D-CNN was introduced to solve the problem of nonlinear detection surface sensitivity variation in a large dynamic range, and in the search for image features to improve evaluation accuracy, achieving more accurate CEACAM5 monitoring, with a maximum detection error of 0.358%. The proposed fiber specklegram biosensing scheme is easy to implement and has great potential in analyzing the postoperative condition of patients.

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Section: Introductionmentioning

confidence: 99%