The Experts below are selected from a list of 177 Experts worldwide ranked by ideXlab platform

Weihong I - One of the best experts on this subject based on the ideXlab platform.

  • experimental and theoretical analysis of curvature sensor based on cladding mode resonance with triple cladding quartz Specialty Fiber
    Optics Communications, 2018
    Co-Authors: Yuepeng Zhang, Fa Liu, Dong Wang, Haiyang Xie, Weihong I
    Abstract:

    Abstract A curvature sensor based on the triple cladding quartz Specialty Fiber (TCQSF) is proposed. The TCQSF is spliced between two single mode Fibers. The curvature sensor is performed by cladding mode resonance. The TCQSF with the length of 10 mm, 35 mm, and 50 mm is prepared and applied to the curvature measurement experiment. The bending model is created and analyzed by the finite element method theoretically. The experiment results show that the curvature sensitivity of sensor with different length are −1.83001 nm/m−1, −1.56231 nm/m−1 and −1.0114 nm/m−1 in the curvature range of 0 ∼ 0.94m−1.

  • a refractive index sensitivity enhanced sensor by core offset splicing the triple cladding quartz Specialty Fiber
    Optical Fiber Technology, 2018
    Co-Authors: Fa Liu, Dong Wang, Haiyang Xie, Yu Zhang, Weihong I
    Abstract:

    Abstract A refractive-index sensitivity-enhanced sensor based on triple cladding quartz Specialty Fiber is proposed. The sensor is fabricated by core-offset splicing between the triple cladding quartz Specialty Fiber and single-mode Fiber. The relationship between the core-offset and the transmission loss spectrum is studied in the sensor preparation. The refractive-index experiments are performed in different core-offset. The experimental results show that the refractive-index sensitivity can be up to 543.7527 nm/RIU when the core-offset is 11.2 µm. Thus, this proposed sensor can be used in many areas, such as industrial production, biological medicine, precision machining and so on.

  • a curvature sensor based on tapered triple cladding quartz Specialty Fiber
    2017 2nd International Conference for Fibre-optic and Photonic Sensors for Industrial and Safety Applications (OFSIS), 2017
    Co-Authors: Fa Liu, Chuanqing Yang, Shunyang Zhang, Siwe Wang, Jiangpeng Zhang, Dong Wang, Weihong I
    Abstract:

    A curvature sensor based on tapered triple cladding quartz Specialty Fiber (TTCQSF) is proposed. It is formed by a section of triple cladding quartz Specialty Fiber which is tapered after splicing both ends of it with single-mode Fibers (SMFs). Then a SMF-TTCQSF-SMF structure is fabricated. The experimental results show that the curvature sensitivity is -6.52nm/m-1 in the range of 0~1.293m-1, and is -17.48dB/m-1 in the range of 0.473~1.293m-1. The sensor is small in size, simple in structure and easy to fabricate. So it will have a good application prospect in the fields of curvature measurement.

  • an in line mach zehnder interferometer temperature sensor based on cladding etched quartz Specialty Fiber
    2015 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 2015
    Co-Authors: Xianjiao Zeng, Chuanqing Yang, Chenyu Zhang, Haiyang Xie, Weihong I
    Abstract:

    An in-line Mach-Zehnder interferometer temperature sensor is proposed based on cladding-etched quartz Specialty Fiber. For different etching depth for the outer cladding of quartz Specialty Fiber, the relationship between transmission spectrum and temperature is analyzed, respectively. Experimental results show that the interference spectrums shift with the temperature changing. The peaks and valleys of spectrum have a red shift as temperature increasing. The temperature sensitivity can be up to 62.89pm/°C in 25-90°C. Thus, this temperature sensor is low-cost, easy to be fabricated and high sensitivity, so it can be used in industrial production, biomedicine, aerospace and power electronics.

I V Melnikov - One of the best experts on this subject based on the ideXlab platform.

Pa J - One of the best experts on this subject based on the ideXlab platform.

  • Surface-enhanced Raman spectroscopy before radical prostatectomy predicts biochemical recurrence better than CAPRA-S
    Dove Medical Press, 2019
    Co-Authors: Pa J, Che N, Shao X, Liu S, Zhu Y, Wang Y, Kang X, Che Z, Xue W
    Abstract:

    Jiahua Pan,1,* Xiaoguang Shao,1,* Yinjie Zhu,1,* Baijun Dong,1 Yanqing Wang,1 Xiaonan Kang,2 Na Chen,3 Zhenyi Chen,3 Shupeng Liu,3 Wei Xue1 1Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, People’s Republic of China; 2Department of Biobank, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, People’s Republic of China; 3Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, People’s Republic of China *These authors contributed equally to this work Objective: The objective of this study was to evaluate the performance of surface-enhanced Raman spectroscopy (SERS) in the prediction of early biochemical recurrence after radical prostatectomy (RP).Patients and methods: We synthesized monodisperse gold nanoparticles as SERS-enhanced substrates and analyzed preoperative plasma samples of patients who underwent RP. The roles of clinical risk model (Cancer of the Prostate Risk Assessment [CAPRA] score) and distinctive SERS spectra on prediction of early biochemical recurrence were evaluated. The principal component analysis and linear discriminant analysis (PCA-LDA) were used to manage the spectral data and develop diagnostic algorithm.Results: A total of 306 preoperative plasma Raman spectra from 102 patients were collected. SERS spectrum from those who developed early biochemical recurrence were compared to those who remained biochemical recurrence-free. The SERS detected more abundant circulating free nucleic acid bases in biochemical recurrence population, presenting significant stronger intensities at SERS spectral bands 725 and 1,328 cm-1. The addition of Raman spectral peak 1,328 cm-1 to CAPRA postsurgical (CAPRA-S) score significantly improved the predictive power of logistic regression model compared to simple CAPRA score (P<0.001). Meanwhile, the leave-one-out cross-validation method was used to validate the PCA-LDA model and revealed the sensitivity, specificity, and accuracy of 65.8%, 87.5%, and 79.4%, respectively. The receiver operating characteristic (ROC) curve was used to evaluate the performance of different models. Area under the ROC curve of the CAPRA-S score model alone was 0.77, however, when combined with Raman spectral peak 1,328 cm-1, it improved to 0.81.Conclusion: Our primary results suggested that SERS could be a meaningful technique for prediction of early biochemical recurrence in prostate cancer. Keywords: surface-enhanced Raman spectroscopy, prostate cancer, radical prostatectomy, early biochemical recurrence 

  • Surface-enhanced Raman spectroscopy of serum accurately detects prostate cancer in patients with prostate-specific antigen levels of 4–10 ng/mL
    Dove Medical Press, 2017
    Co-Authors: Che N, Rong M, Shao X, Zhang H, Liu S, Xue W, Wang T, Li T, Pa J
    Abstract:

    Na Chen,1 Ming Rong,1 Xiaoguang Shao,2 Heng Zhang,1 Shupeng Liu,1,3 Baijun Dong,2 Wei Xue,2 Tingyun Wang,1 Taihao Li,3 Jiahua Pan2 1Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, 2Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 3Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, People’s Republic of China Abstract: The surface-enhanced Raman spectroscopy (SERS) of blood serum was investigated to differentiate between prostate cancer (PCa) and benign prostatic hyperplasia (BPH) in males with a prostate-specific antigen level of 4–10 ng/mL, so as to reduce unnecessary biopsies. A total of 240 SERS spectra from blood serum were acquired from 40 PCa subjects and 40 BPH subjects who had all received prostate biopsies and were given a pathological diagnosis. Multivariate statistical techniques, including principal component analysis (PCA) and linear discriminant analysis (LDA) diagnostic algorithms, were used to analyze the spectra data of serum from patients in control (CTR), PCa and BPH groups; results offered a sensitivity of 97.5%, a specificity of 100.0%, a precision of 100.0% and an accuracy of 99.2% for CTR; a sensitivity of 90.0%, a specificity of 97.5%, a precision of 94.7% and an accuracy of 98.3% for BPH; a sensitivity of 95.0%, a specificity of 93.8%, a precision of 88.4% and an accuracy of 94.2% for PCa. Similarly, this technique can significantly differentiate low- and high-risk PCa with an accuracy of 92.3%, a specificity of 95% and a sensitivity of 89.5%. The results suggest that analyzing blood serum using SERS combined with PCA–LDA diagnostic algorithms is a promising clinical tool for PCa diagnosis and assessment. Keywords: Ag nanoparticles, linear discriminant analysis, gray zone, principle component analysis, benign prostatic hyperplasia, spectral classificatio

Xue W - One of the best experts on this subject based on the ideXlab platform.

  • Surface-enhanced Raman spectroscopy before radical prostatectomy predicts biochemical recurrence better than CAPRA-S
    Dove Medical Press, 2019
    Co-Authors: Pa J, Che N, Shao X, Liu S, Zhu Y, Wang Y, Kang X, Che Z, Xue W
    Abstract:

    Jiahua Pan,1,* Xiaoguang Shao,1,* Yinjie Zhu,1,* Baijun Dong,1 Yanqing Wang,1 Xiaonan Kang,2 Na Chen,3 Zhenyi Chen,3 Shupeng Liu,3 Wei Xue1 1Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, People’s Republic of China; 2Department of Biobank, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, People’s Republic of China; 3Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, People’s Republic of China *These authors contributed equally to this work Objective: The objective of this study was to evaluate the performance of surface-enhanced Raman spectroscopy (SERS) in the prediction of early biochemical recurrence after radical prostatectomy (RP).Patients and methods: We synthesized monodisperse gold nanoparticles as SERS-enhanced substrates and analyzed preoperative plasma samples of patients who underwent RP. The roles of clinical risk model (Cancer of the Prostate Risk Assessment [CAPRA] score) and distinctive SERS spectra on prediction of early biochemical recurrence were evaluated. The principal component analysis and linear discriminant analysis (PCA-LDA) were used to manage the spectral data and develop diagnostic algorithm.Results: A total of 306 preoperative plasma Raman spectra from 102 patients were collected. SERS spectrum from those who developed early biochemical recurrence were compared to those who remained biochemical recurrence-free. The SERS detected more abundant circulating free nucleic acid bases in biochemical recurrence population, presenting significant stronger intensities at SERS spectral bands 725 and 1,328 cm-1. The addition of Raman spectral peak 1,328 cm-1 to CAPRA postsurgical (CAPRA-S) score significantly improved the predictive power of logistic regression model compared to simple CAPRA score (P<0.001). Meanwhile, the leave-one-out cross-validation method was used to validate the PCA-LDA model and revealed the sensitivity, specificity, and accuracy of 65.8%, 87.5%, and 79.4%, respectively. The receiver operating characteristic (ROC) curve was used to evaluate the performance of different models. Area under the ROC curve of the CAPRA-S score model alone was 0.77, however, when combined with Raman spectral peak 1,328 cm-1, it improved to 0.81.Conclusion: Our primary results suggested that SERS could be a meaningful technique for prediction of early biochemical recurrence in prostate cancer. Keywords: surface-enhanced Raman spectroscopy, prostate cancer, radical prostatectomy, early biochemical recurrence 

  • Surface-enhanced Raman spectroscopy of serum accurately detects prostate cancer in patients with prostate-specific antigen levels of 4–10 ng/mL
    Dove Medical Press, 2017
    Co-Authors: Che N, Rong M, Shao X, Zhang H, Liu S, Xue W, Wang T, Li T, Pa J
    Abstract:

    Na Chen,1 Ming Rong,1 Xiaoguang Shao,2 Heng Zhang,1 Shupeng Liu,1,3 Baijun Dong,2 Wei Xue,2 Tingyun Wang,1 Taihao Li,3 Jiahua Pan2 1Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, 2Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 3Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, People’s Republic of China Abstract: The surface-enhanced Raman spectroscopy (SERS) of blood serum was investigated to differentiate between prostate cancer (PCa) and benign prostatic hyperplasia (BPH) in males with a prostate-specific antigen level of 4–10 ng/mL, so as to reduce unnecessary biopsies. A total of 240 SERS spectra from blood serum were acquired from 40 PCa subjects and 40 BPH subjects who had all received prostate biopsies and were given a pathological diagnosis. Multivariate statistical techniques, including principal component analysis (PCA) and linear discriminant analysis (LDA) diagnostic algorithms, were used to analyze the spectra data of serum from patients in control (CTR), PCa and BPH groups; results offered a sensitivity of 97.5%, a specificity of 100.0%, a precision of 100.0% and an accuracy of 99.2% for CTR; a sensitivity of 90.0%, a specificity of 97.5%, a precision of 94.7% and an accuracy of 98.3% for BPH; a sensitivity of 95.0%, a specificity of 93.8%, a precision of 88.4% and an accuracy of 94.2% for PCa. Similarly, this technique can significantly differentiate low- and high-risk PCa with an accuracy of 92.3%, a specificity of 95% and a sensitivity of 89.5%. The results suggest that analyzing blood serum using SERS combined with PCA–LDA diagnostic algorithms is a promising clinical tool for PCa diagnosis and assessment. Keywords: Ag nanoparticles, linear discriminant analysis, gray zone, principle component analysis, benign prostatic hyperplasia, spectral classificatio

Tong Weiju - One of the best experts on this subject based on the ideXlab platform.

  • opto electron eng 2018 45 9 progress and prospect of novel Specialty Fibers for Fiber optic sensing
    Opto-Electronic Research Reviews, 2018
    Co-Authors: Tong Weiju, Yang Che, Liu Tongqing, Zhang Xinbe, Yang Yucheng, Tang Ming
    Abstract:

    The paper reviews the major techniques of Specialty Fiber fabrication. It primarily reports the progress of panda-type polarization maintaining Fiber, spun Fiber, Specialty Fibers for harsh environment and those for novel distributed sensing applications. Compared with the sensing systems utilizing conventional communication Fiber, the Fiber optic sensors based on Specialty Fibers show evident advances in performance. Additionally, the development of Specialty Fibers facilitates the advent of novel sensing mechanisms.

  • progress and prospect of novel Specialty Fibers for Fiber optic sensing
    Opto-electronic Engineering, 2018
    Co-Authors: Tong Weiju, Yang Che, Liu Tongqing, Zhang Xinbe, Yang Yucheng, Tang Ming
    Abstract:

    The paper reviews the major techniques of Specialty Fiber fabrication. It primarily reports the progress of panda-type polarization maintaining Fiber, spun Fiber, Specialty Fibers for harsh environment and those for novel distributed sensing applications. Compared with the sensing systems utilizing conventional communication Fiber, the Fiber optic sensors based on Specialty Fibers show evident advances in performance. Additionally, the development of Specialty Fibers facilitates the advent of novel sensing mechanisms.

  • recent research and development progress on photonic Specialty Fiber
    Asia Communications and Photonics Conference 2015 (2015) paper ASu4B.1, 2015
    Co-Authors: Tong Weiju
    Abstract:

    Specialty Fiber has important applications in optical Fiber devices. YOFC's recent progress on Specialty Fibers like coupler Fiber, device-type PMF, active Fiber for Fiber lasers and so on will be demonstrated.