| 光谱学与光谱分析 |
|
|
|
|
|
| Study on Detection of Changes in Tissue Structure and Composition by Using Virtual Internal Hyper-Spectrum of Body Surface |
| LIN Ling1, WU Hong-jie1, ZHAO Li-ying1, LI Gang1, ZHANG Bao-ju2, WU Jin-cheng2* |
1. State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China
2. College of Physics and Electronic Information, Tianjin Normal University, Tianjin 300387, China |
|
|
|
|
Abstract Purposed to achieve the detection of changes in tissue structure and composition simultaneously by virtual internal hyper-spectrum of body surface (VIHBS), we designed the VIHBS system containing modulated light, translation stage device for data acquisition and spectrometer. In the present study, pork meat as the experimental subject was equally divided into three pieces. One piece was used for a control study, and the others were separately embedded with red filter and injected into highly scattering intralipid to imitate the changes in tissue structure and composition. And then, data acquisition of 17 points started at source fiber was taken at intervals of 0.5 mm. The results showed that modulated light can effectively inhibit the influences of ambient light and dark current created by optoelectronic devices. In addition, VIHBS technology achieved the locating of red filter by visible-light and the rapid screening of changes in tissue composition caused by intralipid with near infrared light. The study suggests that it is much feasible to detect the changes in tissue structure and composition by VIHBS. And it is concluded that further research will be likely to provide a new method to realize the early diagnosis and screening of human skin.
|
|
Received: 2011-06-10
Accepted: 2011-09-12
|
|
|
|
Corresponding Authors:
WU Jin-cheng
E-mail: wdxywjc@mail.tjnu.edu.cn
|
|
[1] Brown C D, Davis H T, Ediger M N, et al. Diabetes Technology & Therapeutics, 2005, 7(3): 456.
[2] Huang Z W, Lui H, McLean D I, et al. Photochemistry and Photobiology, 2005, 81(5): 1219.
[3] Meglinski I V, Matcher S J. Physiological Measurement, 2002, 23(4): 741.
[4] Schemberg J, Grodrian A, Romer R, et al. Engineering in Life Sciences, 2009, 9(5); 391.
[5] Guillen A, del Moral F G, Herrera L J, et al. Neural Computing & Applications, 2010, 19(3): 465.
[6] HE Yong, LI Xiao-li(何 勇, 李晓丽). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2006, 25(3): 192.
[7] Liu Y D, Sun X D, Zhou J M, et al. Mathematical and Computer Modelling, 2010, 51(11-12): 1438.
[8] CHEN Quan-sheng, ZHANG Yan-hua, WAN Xin-min, et al(陈全胜, 张燕华, 万新民，等). Acta Optica Sinica(光学学报), 2010, 30(9): 2602.
[9] Qiao J, Ngadi M O, Wang N, et al. Journal of Food Engineering, 2007, 83(1): 10.
[10] Randeberg L L, Larsen E L, Svaasand L O. Journal of Biophotonics, 2010, 3(1-2): 53.
[11] LIN Ling, WU Hong-jie, WU Xiao-shuang, et al(林 凌, 吴红杰, 吴晓爽，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2011, 31(1): 201.
[12] Lanzano L, Scordino A, Privitera S, et al. European Biophysics Journal with Biophysics Letters, 2007, 36(7): 823.
[13] YAO Yong, XING Da, HE Yong-hong(姚 勇, 邢 达, 何永红). Chinese Sciences Bulletin(科学通报), 2001, 46(18): 1576.
[14] HE Ling-ping, CHEN Bo, YANG Lin, et al(何玲平，陈 波，杨 林，等). Optics and Precision Engineering(光学精密工程), 2008, 16(9): 1677.
[15] DING Hai-shu, WANG Feng, SU Chang, et al(丁海曙, 王 峰, 苏 畅，等). Tsinghua Science and Technology(清华大学学报·自然科学版), 1999, 39(9): 5.
|
| [1] |
WANG Cai-ling1，ZHANG Jing1，WANG Hong-wei2*, SONG Xiao-nan1, JI Tong3. A Hyperspectral Image Classification Model Based on Band Clustering and Multi-Scale Structure Feature Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 258-265. |
| [2] |
TIAN Fu-chao1, CHEN Lei2*, PEI Huan2, BAI Jie-qi1, ZENG Wen2. Study of Factors Influencing the Length of Argon Plasma Jets at
Atmospheric Pressure With Needle Ring Electrodes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3682-3689. |
| [3] |
WANG Ling-juan, OU Quan-hong, YAN Hao, TANG Jun-qi*. Preparation and Catalytic Properties of Gold Nanoflowers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3747-3752. |
| [4] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
| [5] |
ZHENG Ni-na1, 2*, XIE Pin-hua1, QIN Min1, DUAN Jun1. Research on the Influence of Lamp Structure of the Combined LED Broadband Light Source on Differential Optical Absorption Spectrum
Retrieval and Its Removing Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3339-3346. |
| [6] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
| [7] |
FANG Zheng, WANG Han-bo. Measurement of Plastic Film Thickness Based on X-Ray Absorption
Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3461-3468. |
| [8] |
WAN Huang-xu1, 2, LIU Ji-qiang1*, HAN Xi-qiu1, 2, LIANG Jin-long2, ZHOU Ya-dong1, FAN Wei-jia1, WANG Ye-jian1, QIU Zhong-yan1, MENG Fan-wei3. Ultrastructure and Mineral Composition of Bathymodiolus Shell From Wocan-1 Hydrothermal Vent, Northwest Indian Ocean[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3497-3503. |
| [9] |
GUO Jing-fang, LIU Li-li*, CHENG Wei-wei, XU Bao-cheng, ZHANG Xiao-dan, YU Ying. Effect of Interaction Between Catechin and Glycosylated Porcine
Hemoglobin on Its Structural and Functional Properties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3615-3621. |
| [10] |
HUANG Zhao-di1, CHEN Zai-liang2, WANG Chen3, TIAN Peng2, ZHANG Hai-liang2, XIE Chao-yong2*, LIU Xue-mei4*. Comparing Different Multivariate Calibration Methods Analyses for Measurement of Soil Properties Using Visible and Short Wave-Near
Infrared Spectroscopy Combined With Machine Learning Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3535-3540. |
| [11] |
JIA Zong-chao1, WANG Zi-jian1, LI Xue-ying1, 2*, QIU Hui-min1, HOU Guang-li1, FAN Ping-ping1*. Marine Sediment Particle Size Classification Based on the Fusion of
Principal Component Analysis and Continuous Projection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3075-3080. |
| [12] |
CHEN Jia-wei1, 2, ZHOU De-qiang1, 2*, CUI Chen-hao3, REN Zhi-jun1, ZUO Wen-juan1. Prediction Model of Farinograph Characteristics of Wheat Flour Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3089-3097. |
| [13] |
XUE Fang-jia, YU Jie*, YIN Hang, XIA Qi-yu, SHI Jie-gen, HOU Di-bo, HUANG Ping-jie, ZHANG Guang-xin. A Time Series Double Threshold Method for Pollution Events Detection in Drinking Water Using Three-Dimensional Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3081-3088. |
| [14] |
CHENG Hong1, YAN Ding-ce1*, WU Li-qing2, XU Jun3. Spectral Magnitude Uncertainty in Measurement of Protein Circular
Dichroism Spectra—An Empirical Study on Cytochrome C[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3105-3110. |
| [15] |
GAO Ran1, 2, CHEN Quan-li1, 3*, REN Yue-nan4, BAO Pei-jin1, HUANG Hui-zhen1. Study on the Gemmological and Spectral Characteristics of Emeralds From Kagem, Zambia[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3186-3192. |
|
|
|
|
