Literature DB >> 18958099

Quantitative interpretations of Visible-NIR reflectance spectra of blood.

Yulia M Serebrennikova1, Jennifer M Smith, Debra E Huffman, German F Leparc, Luis H García-Rubio.   

Abstract

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.

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Year:  2008        PMID: 18958099     DOI: 10.1364/oe.16.018215

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

Review 1.  A literature review and novel theoretical approach on the optical properties of whole blood.

Authors:  Nienke Bosschaart; Gerda J Edelman; Maurice C G Aalders; Ton G van Leeuwen; Dirk J Faber
Journal:  Lasers Med Sci       Date:  2014-03       Impact factor: 3.161

2.  Complex refractive index spectra of whole blood and aqueous solutions of anticoagulants, analgesics and buffers in the mid-infrared.

Authors:  David J Rowe; David Smith; James S Wilkinson
Journal:  Sci Rep       Date:  2017-08-04       Impact factor: 4.379

  2 in total

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