Literature DB >> 17356617

Empirical model functions to calculate hematocrit-dependent optical properties of human blood.

Martina Meinke1, Gerhard Müller, Jürgen Helfmann, Moritz Friebel.   

Abstract

The absorption coefficient, scattering coefficient, and effective scattering phase function of human red blood cells (RBCs) in saline solution were determined for eight different hematocrits (Hcts) between 0.84% and 42.1% in the wavelength range of 250-1100 nm using integrating sphere measurements and inverse Monte Carlo simulation. To allow for biological variability, averaged optical parameters were determined under flow conditions for ten different human blood samples. Based on this standard blood, empirical model functions are presented for the calculation of Hct-dependent optical properties for the RBCs. Changes in the optical properties when saline solution is replaced by blood plasma as the suspension medium were also investigated.

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Year:  2007        PMID: 17356617     DOI: 10.1364/ao.46.001742

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  24 in total

1.  Oxygen saturation measurements of the retinal vasculature in treated asymmetrical primary open-angle glaucoma using hyperspectral imaging.

Authors:  D J Mordant; I Al-Abboud; G Muyo; A Gorman; A R Harvey; A I McNaught
Journal:  Eye (Lond)       Date:  2014-07-25       Impact factor: 3.775

2.  Dynamic light scattering Monte Carlo: a method for simulating time-varying dynamics for ordered motion in heterogeneous media.

Authors:  Mitchell A Davis; Andrew K Dunn
Journal:  Opt Express       Date:  2015-06-29       Impact factor: 3.894

3.  Theoretical model of blood flow measurement by diffuse correlation spectroscopy.

Authors:  Sava Sakadžic; David A Boas; Stefan Carp
Journal:  J Biomed Opt       Date:  2017-02-01       Impact factor: 3.170

4.  Photonic sensing of arterial distension.

Authors:  Dominic Ruh; Sivaraman Subramanian; Stanislav Sherman; Johannes Ruhhammer; Michael Theodor; Lebrecht Dirk; Katharina Foerster; Claudia Heilmann; Friedhelm Beyersdorf; Hans Zappe; Andreas Seifert
Journal:  Biomed Opt Express       Date:  2016-08-05       Impact factor: 3.732

5.  Establishing the quantitative relationship between diffuse speckle contrast analysis signals with absolute blood flow.

Authors:  Jialin Liu; Haiyang Wang; Peipei Wang; Zhiliang Jin; Weimin Li; Hongchao Zhang; Zhonghua Shen; Daxi Xiong
Journal:  Biomed Opt Express       Date:  2018-09-12       Impact factor: 3.732

6.  Imaging depth and multiple scattering in laser speckle contrast imaging.

Authors:  Mitchell A Davis; S M Shams Kazmi; Andrew K Dunn
Journal:  J Biomed Opt       Date:  2014-08       Impact factor: 3.170

7.  Establishing the diffuse correlation spectroscopy signal relationship with blood flow.

Authors:  David A Boas; Sava Sakadžić; Juliette Selb; Parisa Farzam; Maria Angela Franceschini; Stefan A Carp
Journal:  Neurophotonics       Date:  2016-06-13       Impact factor: 3.593

8.  Sensitivity of laser speckle contrast imaging to flow perturbations in the cortex.

Authors:  Mitchell A Davis; Louis Gagnon; David A Boas; Andrew K Dunn
Journal:  Biomed Opt Express       Date:  2016-02-03       Impact factor: 3.732

9.  Effect of vascular structure on laser speckle contrast imaging.

Authors:  Chakameh Z Jafari; Colin T Sullender; David R Miller; Samuel A Mihelic; Andrew K Dunn
Journal:  Biomed Opt Express       Date:  2020-09-24       Impact factor: 3.732

10.  Hyperspectral Image Mapping Spectrometry for Retinal Oximetry Measurements in Four Diseased Eyes.

Authors:  Jason G Dwight; Christina Y Weng; Robert E Coffee; Michal E Pawlowski; Tomasz S Tkaczyk
Journal:  Int Ophthalmol Clin       Date:  2016
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