Prof. Ling Lin Profile

Prof. Ling Lin

at Tianjin Univ

SPIE Involvement:

Author

Publications (18)

Proceedings Article | 9 November 2018 Paper

Reduction of the impact of differences in flexible conveying tubes on on-line spectral analysis

Xingwei Hou, Ling Lin, Mengqiu Zhang, Gang Li

Proceedings Volume 10826, 1082619 (2018) https://doi.org/10.1117/12.2501189

KEYWORDS: Data modeling, Calibration, Analytical research, Absorption, Liquids, Light scattering, Scattering, Spectral calibration, Spectroscopy, Spectral models

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Proceedings Article | 9 November 2018 Paper

Improving the measurement accuracy of trace compositions in biological fluids with multi-dimension and multi-mode spectroscopy method

Mengqiu Zhang, Gang Li, Xingwei Hou, Ling Lin

Proceedings Volume 10826, 1082618 (2018) https://doi.org/10.1117/12.2501188

KEYWORDS: Spectroscopy, Data modeling, Biological research, Fluorescence spectroscopy

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Proceedings Article | 31 October 2016 Paper

Assessment of spatial information for hyperspectral imaging of lesion

Xue Yang, Gang Li, Ling Lin

Proceedings Volume 10024, 100242O (2016) https://doi.org/10.1117/12.2245874

KEYWORDS: Hyperspectral imaging, Image segmentation, Tissues, Breast, Modulation, Tissue optics, Tumors, Optical properties, Cancer, Breast cancer

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Proceedings Article | 31 October 2016 Paper

Wavelength selection based on two-dimensional correlation spectroscopy: application to noninvasive hemoglobin measurement by dynamic spectrum

Shengzhao Zhang, Linna Zhang, Zhe Li, Gang Li, Ling Lin

Proceedings Volume 10024, 100241R (2016) https://doi.org/10.1117/12.2244831

KEYWORDS: Spectroscopy, Blood, Data modeling, Tissues, Calibration, Lithium, Light sources, Arteries, Absorption, Statistical analysis

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Proceedings Article | 31 October 2016 Paper

Hemoglobin concentration determination based on near infrared spatially resolved transmission spectra

Linna Zhang, Gang Li, Ling Lin

Proceedings Volume 10024, 100241O (2016) https://doi.org/10.1117/12.2243796

KEYWORDS: Liquids, Spectroscopy, Blood, Analytical research, Near infrared, Diffuse reflectance spectroscopy, Near infrared spectroscopy, Scattering, Fiber lasers, Data modeling

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SPIE Journal Paper | 9 July 2013

Fill light for grayscale superresolution

Hong Liu, Mali Yu, Renchao Jin, Enmin Song, Gang Li, Ling Lin

OE, Vol. 52, Issue 07, 073105, (July 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.7.073105

KEYWORDS: Super resolution, Image enhancement, Photography, Image processing, Cameras, Image quality, Quantization, Image resolution, Signal detection, Optical engineering

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SPIE Journal Paper | 7 May 2013 Open Access

Fast digital lock-in amplifier for dynamic spectrum extraction

Mei Zhou, Gang Li, Ling Lin

JBO, Vol. 18, Issue 05, 057003, (May 2013) https://doi.org/10.1117/12.10.1117/1.JBO.18.5.057003

KEYWORDS: Decision support systems, Signal to noise ratio, Blood, Error analysis, Optical amplifiers, Statistical analysis, Optical signal processing, Fourier transforms, Lithium, Amplifiers

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Proceedings Article | 12 January 2009 Paper

Phase shift error of dynamic spectrum

Yan Wang, Ling Lin, Yong Ma, Gang Li, Rui-li Zeng

Proceedings Volume 7133, 71332E (2009) https://doi.org/10.1117/12.810442

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Proceedings Article | 27 October 2006 Paper

Optical properties of the tissue effects upon the dynamic spectrum

Xiaoxia Li, Gang Li, Ling Lin, Yuliang Liu, Yan Wang, Xiumei Guo

Proceedings Volume 6047, 604704 (2006) https://doi.org/10.1117/12.709741

KEYWORDS: Scattering, Blood, Tissue optics, Transmittance, Monte Carlo methods, Diffuse reflectance spectroscopy, Tissues, Arteries, Absorption, Lithium

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Proceedings Article | 27 October 2006 Paper

A new near-infrared spectrometer developed for dynamic spectroscopy

Gang Li, Yu-liang Liu, Ling Lin, Xiao-xia Li, Yan Wang

Proceedings Volume 6047, 604720 (2006) https://doi.org/10.1117/12.710917

KEYWORDS: Spectroscopy, Blood, Arteries, Near infrared, Signal processing, Near infrared spectroscopy, Infrared spectroscopy, Tissues, Absorption, Process modeling

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Proceedings Article | 27 October 2006 Paper

Determination of the optical properties of two-layered turbid media from spatially resolved diffuse reflectance by SVM

Lin Lin, Ling Lin, Gang Li

Proceedings Volume 6047, 60471Y (2006) https://doi.org/10.1117/12.710915

KEYWORDS: Optical properties, Tissue optics, Diffuse reflectance spectroscopy, Tissues, Monte Carlo methods, Reflectivity, Error analysis, Data modeling, Scattering, Absorption

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Proceedings Article | 18 January 2005 Paper

Accuracy of PCA-NN in non-invasively determining tissue optical properties from spatially resolved diffuse reflectance

Yaqin Chen, Ling Lin, Gang Li, Jianming Gao, Kaijie Wu

Proceedings Volume 5630, (2005) https://doi.org/10.1117/12.568730

KEYWORDS: Reflectivity, Monte Carlo methods, Photons, Optical properties, Signal to noise ratio, Diffuse reflectance spectroscopy, Tissue optics, Computer simulations, Interference (communication), Error analysis

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Proceedings Article | 18 January 2005 Paper

A novel method for determination of the optical properties of two-layer tissue model from spatially resolved diffuse reflectance

Ling Lin, Yaqin Chen, Gang Li, Jianming Gao, Kaijie Wu

Proceedings Volume 5630, (2005) https://doi.org/10.1117/12.568716

KEYWORDS: Optical properties, Reflectivity, Skin, Diffusion, Monte Carlo methods, Tissue optics, Data modeling, Genetic algorithms, Diffuse reflectance spectroscopy, Tissues

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Proceedings Article | 18 January 2005 Paper

Dynamic spectrum in frequency domain on nonnvasive in vivo measurement of blood spectrum

Xiaoxia Li, Gang Li, Ling Lin, Yuliang Liu, Yan Wang, Yunfeng Zhang

Proceedings Volume 5630, (2005) https://doi.org/10.1117/12.574198

KEYWORDS: Blood, Tissue optics, Scattering, Spectroscopy, Tissues, Near infrared, Glucose, Absorption, Light scattering, Near infrared spectroscopy

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Proceedings Article | 18 January 2005 Paper

Research on the effect of numerical aperture on probing depth of OCT system with new Monte Carlo simulation model

Kaijie Wu, Gang Li, Ling Lin, Yaqin Chen

Proceedings Volume 5630, (2005) https://doi.org/10.1117/12.574917

KEYWORDS: Optical coherence tomography, Photons, Monte Carlo methods, Confocal microscopy, Tissue optics, Tissues, Natural surfaces, Light sources, Systems modeling, Gaussian beams

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Proceedings Article | 29 July 2004 Paper

Determination of tissue optical properties from spatially resolved relative diffuse reflectance

Yaqin Chen, Ling Lin, Gang Li, Wenyu Ye, Qilian Yu

Proceedings Volume 5486, (2004) https://doi.org/10.1117/12.571446

KEYWORDS: Reflectivity, Diffuse reflectance spectroscopy, Neural networks, Optical properties, Monte Carlo methods, Lanthanum, Tissue optics, Principal component analysis, Error analysis, Calibration

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Noninvasive determination of μ_s' and μ_a is essential for clinical applications in medical diagnostics and therapeutics. Spatially resolved diffuse reflectance method is more advantageous than other techniques because of its simplicity and low-cost. The methods for solving the nonlinear inverse problem of estimates of μ_s' and μ_a from spatially resolved diffuse reflectance R_d(r) can be classified into the algorithms based on absolute or relative reflectance measurements in nature. Since absolute reflectance measurements are technically more difficult to perform than the relative one, study on the methods based on the relative reflectance has a more important meaning for real applications. Considering that there were several normalizations of R_d(r), in this paper we discussed the varieties of prediction rms errors of μ_s' and μ_a extracted from relative reflectance data of different normalization forms including R_d(r)/R_d(r)_max, r²(R_d(r)/R_d(r)_max), 1n(R_d(r)/R_d(r)_max) and 1n(r²(R_d(r)/R_d(r)max)). Additionally, we compared the accuracies of μ_s' and μ_a determined from absolute reflectance data R_d(r) and 1n(R_d(r)) with that from relative reflectance data to study the loss of accuracy due to normalization. Rather than the traditional neural network methods, we used a new method -- PCA-NN trained with diffuse reflectance data from Monte Carlo simulations to derive μ_s' and μ_a. All the PCA-NNs were trained and tested on the space with μ_s' between 0.1 and 2.0 mm^-1 and μ_a between 0.01 and 0.1 mm^-1. The test results indicate that the rms errors in μ_s' and μ_a are 0.72% and 2.57% for R_d(r), 0.28% and 0.55% for 1n(R_d(r), 2.98% and 5.44% for R_d(r)/R_d(r)_max, 2.22% and 3.21% for 1n(R_d(r)/R_d(r)_max), 6.52% and 20.7% for r²(R_d(r)/R_d(r)_max), and 2.22% and 3.21% for 1n(r²(R_d(r)/R_d(r)_max)), suggesting that the normalization form 1n(R_d(r)/R_d(r)_max) would be the first choice for the estimates of μ_s' and μ_a from relative reflectance data by PCA-NN. Although the loss of accuracy due to normalization is considerable, the preliminary results provide a guideline for relative reflectance measurements.

Proceedings Article | 12 September 2002 Paper

Noninvasive intracranial pressure measurement using near-infrared light

Ling Lin, Gang Li, Saoxia Xiang, Jinfa Sun

Proceedings Volume 4916, (2002) https://doi.org/10.1117/12.483006

KEYWORDS: Tissue optics, Signal detection, Brain, Head, Optical testing, Skull, Monte Carlo methods, Blood, Veins, Tissues

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Proceedings Article | 12 September 2002 Paper

DSP-based data acquisition and processing system for OCT

Gang Li, Wei Shao, Kaijie Wu, Ling Lin

Proceedings Volume 4916, (2002) https://doi.org/10.1117/12.482930

KEYWORDS: Digital signal processing, Optical coherence tomography, Data acquisition, Signal processing, Imaging systems, Tissues, Data processing, Demodulation, Modulators, Image processing

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Showing 5 of 18 publications

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