Quantitative interpretations of Visible-NIR reflectance spectra of blood

被引:14
|
作者
Serebrennikova, Yulia M. [1 ]
Smith, Jennifer M. [1 ]
Huffman, Debra E. [1 ]
Leparc, German F. [2 ]
Garcia-Rubio, Luis H. [1 ]
机构
[1] Claro Sci LLC, St Petersburg, FL 33716 USA
[2] Florida Blood Serv, St Petersburg, FL 33716 USA
来源
OPTICS EXPRESS | 2008年 / 16卷 / 22期
关键词
D O I
10.1364/OE.16.018215
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This paper illustrates the implementation of a new theoretical model for rapid quantitative analysis of the Vis-NIR diffuse reflectance spectra of blood cultures. This new model is based on the photon diffusion theory and Mie scattering theory that have been formulated to account for multiple scattering populations and absorptive components. This study stresses the significance of the thorough solution of the scattering and absorption problem in order to accurately resolve for optically relevant parameters of blood culture components. With advantages of being calibration-free and computationally fast, the new model has two basic requirements. First, wavelength-dependent refractive indices of the basic chemical constituents of blood culture components are needed. Second, multi-wavelength measurements or at least the measurements of characteristic wavelengths equal to the degrees of freedom, i.e. number of optically relevant parameters, of blood culture system are required. The blood culture analysis model was tested with a large number of diffuse reflectance spectra of blood culture samples characterized by an extensive range of the relevant parameters. (C) 2008 Optical Society of America
引用
收藏
页码:18215 / 18229
页数:15
相关论文
共 50 条
  • [21] Visible-NIR Image Fusion Based on Top-Hat Transform
    Herrera-Arellano, Maria
    Peregrina-Barreto, Hayde
    Terol-Villalobos, Ivan
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 30 : 4962 - 4972
  • [22] A space-borne visible-NIR hyperspectral imager for coastal phenology
    Osterman, Steve N.
    Muller-Karger, Frank E.
    Humm, David C.
    Noble, Matthew W.
    Begley, Shawn M.
    Hersman, Christopher B.
    Hestir, Erin L.
    Izenberg, Noam
    Keller, Mary R.
    Lees, Jeff
    Magruder, Adam S.
    Morgan, Frank
    Seifert, Helmut
    Strohbehn, Kim
    SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XX, 2016, 10000
  • [23] Study on fast discrimination of seabuckthorn juice varieties using visible-nir spectroscopy
    Zhang H.
    Zhang S.
    Wang F.
    Jie D.
    Zhao H.
    Guangxue Xuebao/Acta Optica Sinica, 2010, 30 (02): : 574 - 578
  • [24] Characterization of SiGe-Detector Arrays for Visible-NIR Imaging Sensor Applications
    Sood, Ashok K.
    Richwine, Robert A.
    Sood, Adam W.
    Puri, Yash R.
    DiLello, Nicole
    Hoyt, Judy L.
    Akinwande, Tayo I.
    Dhar, Nibir
    Balcerak, Raymond S.
    Bramhall, Thomas G.
    INFRARED TECHNOLOGY AND APPLICATIONS XXXVII, 2011, 8012
  • [25] A Fused Diketopyrrolopyrrole Derivative for Single-Crystal Visible-NIR Organic Phototransistor
    Cui, Tianqiang
    Luo, Nan
    Zhang, Zhilei
    Liu, Jie
    Sun, Yanan
    Liu, Dawei
    Zhang, Yamin
    Shao, Xiangfeng
    Zhang, Hao-Li
    Jiang, Lang
    Liu, Zitong
    SMALL METHODS, 2025,
  • [26] Prediction of Albumen pH with Effective Wavelength Regions Selection by Visible-NIR Spectroscopy
    Liu, Yande
    Peng, Yanying
    Dong, Xiaoling
    Sun, Xudong
    Ouyang, Aiguo
    SENSOR LETTERS, 2011, 9 (03) : 1164 - 1169
  • [27] AUTOMATED QUALITATIVE AND QUANTITATIVE NIR REFLECTANCE ANALYSES
    DUNMIRE, DL
    WILLIAMS, RC
    CEREAL FOODS WORLD, 1990, 35 (09) : 913 - &
  • [28] Highly Visible-NIR Transparent Metamaterial-Window for Broadband Microwave Absorption and Shielding
    Zhang, Yaqiang
    Li, Haonan
    Ge, Jiahao
    Zhang, Chi
    Li, Jingzhou
    Zhang, Cheng
    Deng, Ruixiang
    Zhang, Yang
    Dong, Hongxing
    Zhang, Long
    ADVANCED MATERIALS TECHNOLOGIES, 2023, 8 (22)
  • [29] Nondestructive detection of brown core in the Chinese pear 'Yali' by transmission visible-NIR spectroscopy
    Han, DH
    Tu, RL
    Lu, C
    Liu, XX
    Wen, ZH
    FOOD CONTROL, 2006, 17 (08) : 604 - 608
  • [30] Visible-NIR Laser Based Bi-directional Indoor Optical Wireless Communication
    Almohanna, S.
    Alogayyel, M. S.
    Ajaji, A. A.
    Alkhdrawi, H. A.
    Alleli, M. A.
    Tareq, Q.
    Mukhtar, Sani
    Khan, Mohammed Z. M.
    2019 IEEE 10TH GCC CONFERENCE & EXHIBITION (GCC), 2019,