Mr. Junli Wu Profile

Junli Wu

at Jiangxi Science and Technology Normal Univ.

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Author

Publications (4)

Proceedings Article | 27 March 2022 Paper

Photoacoustic identification of blood via BP combined with particle swarm optimization algorithm

Wenping Peng, Tao Liu, Junli Wu, Chengxin Xiong, Mingbin Zhou, Zhong Ren

Proceedings Volume 12169, 1216963 (2022) https://doi.org/10.1117/12.2624677

KEYWORDS: Blood, Photoacoustic spectroscopy, Particles, Particle swarm optimization, Ultrasonics, Neurons, Neural networks, Transducers, Silicon, Pulsed laser operation

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Proceedings Article | 24 November 2021 Paper

Discrimination and classification of true or mock blood based on photoacoustic spectroscopy combined with support vector machine

Zhong Ren, Junli Wu, Chengxin Xiong, Tao Liu

Proceedings Volume 12067, 1206702 (2021) https://doi.org/10.1117/12.2602296

KEYWORDS: Blood, Photoacoustic spectroscopy, Principal component analysis, Pulsed laser operation, Ultrasonics, Tissue optics, Transducers, Optical parametric oscillators, Signal detection, Luminescence

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Proceedings Article | 24 November 2021 Paper

The effect of central frequency of ultrasonic transducer on the glucose detection based on photoacoustic spectroscopy

Chengxin Xiong, Zhong Ren, Tao Liu, Junli Wu, Xinyi Shen

Proceedings Volume 12066, 120660B (2021) https://doi.org/10.1117/12.2602295

KEYWORDS: Glucose, Photoacoustic spectroscopy, Ultrasonics, Transducers, Blood, Pulsed laser operation, Tissue optics, Optical parametric oscillators, Laser energy, Silicon

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The non-invasive detection of blood glucose based on photoacoustic spectroscopy is a very popular method used to monitor the diabetes mellitus in recent years. The basic mechanism of photoacoustic spectroscopy is the effect of photo-induced ultrasonic. The detection accuracy of blood glucose can be improved due to the captured ultrasonic rather than the photons. The properties of ultrasonic transducer is one of the important influence factors on the detection accuracy of glucose. To study the effect of detection frequency for ultrasonic transducer on the glucose detection based on photoacoustic spectroscopy, a set of photoacoustic detection system was established. The optical parameters oscillator (OPO) pulsed laser pumped with 532nm was used as the excitation light source. Three kinds of ultrasonic transducers with different central echo frequencies (1MHz, 2.5MHz, and 30MHz) were respectively used to capture the photoacoustic signal of test blood phantoms with different concentrations of glucose. The time-resolved photoacoustic signal and peak-to-peak values of test blood phantoms were obtained. The results show that with the increase of glucose concentration, the photoacoustic amplitudes and peak-to-peak values of phantoms increase. Moreover, the time of photoacoustic signal shifts left with the increase of concentration. The prediction models based on linear fitting method were established for three kinds of ultrasonic transducers. Prediction results show that for the ultrasonic transducer with central frequency of 1MHz, the correction coefficient is 0.8681, the root-mean-square error (RMSE) of glucose concentration is about 13.3%. For the ultrasonic transducer with central frequency of 2.5MHz, the correction coefficient is 0.83127, the RMSE of glucose concentration is about 1.8149%. For the ultrasonic transducer with central frequency of 30MHz, the correction coefficient is 0.99598, the RMSE of glucose concentration is about 0.3808%. Therefore, the detection effect of the ultrasonic transducer with central frequency of 30MHz is best compared with the two others.

Proceedings Article | 1 November 2021 Paper

Recognition of authentic or false blood based on NIR spectroscopy and PCA-WNN-PSO algorithm

Junli Wu, Zhong Ren, Tao Liu, Chengxin Xiong

Proceedings Volume 12057, 120571L (2021) https://doi.org/10.1117/12.2605119

KEYWORDS: Blood, Detection and tracking algorithms, Near infrared spectroscopy, Near infrared, Neurons, Spectroscopy, Particle swarm optimization, Wavelets, Principal component analysis, Particles

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