Literature DB >> 27402342

Method of evaluation of process of red blood cell sedimentation based on photometry of droplet samples.

Alexander Aristov1, Ekaterina Nosova2.   

Abstract

The paper focuses on research aimed at creating and testing a new approach to evaluate the processes of aggregation and sedimentation of red blood cells for purpose of its use in clinical laboratory diagnostics. The proposed method is based on photometric analysis of blood sample formed as a sessile drop. The results of clinical approbation of this method are given in the paper. Analysis of the processes occurring in the sample in the form of sessile drop during the process of blood cells sedimentation is described. The results of experimental studies to evaluate the effect of the droplet sample focusing properties on light radiation transmittance are presented. It is shown that this method significantly reduces the sample volume and provides sufficiently high sensitivity to the studied processes.

Keywords:  Aggregation; Blood; Erythrocyte sedimentation rate; Photometry

Mesh:

Year:  2016        PMID: 27402342     DOI: 10.1007/s11517-016-1542-5

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  5 in total

1.  Optical transmission of blood: effect of erythrocyte aggregation.

Authors:  Leonid D Shvartsman; Ilya Fine
Journal:  IEEE Trans Biomed Eng       Date:  2003-08       Impact factor: 4.538

2.  Review of analytical measurements facilitated by drop formation technology.

Authors:  K E Miller; R E Synovec
Journal:  Talanta       Date:  2000-04-28       Impact factor: 6.057

3.  Scattering of light by a red blood cell.

Authors:  A G Borovoi; E I Naats; U G Oppel
Journal:  J Biomed Opt       Date:  1998-07       Impact factor: 3.170

4.  ICSH review of the measurement of the erythocyte sedimentation rate.

Authors:  J M Jou; S M Lewis; C Briggs; S-H Lee; B De La Salle; S McFadden
Journal:  Int J Lab Hematol       Date:  2011-02-25       Impact factor: 2.877

Review 5.  The erythrocyte sedimentation rate: old and new clinical applications.

Authors:  C Saadeh
Journal:  South Med J       Date:  1998-03       Impact factor: 0.954

  5 in total
  1 in total

1.  Convolutional neural network-based automatic classification for incomplete antibody reaction intensity in solid phase anti-human globulin test image.

Authors:  KeQing Wu; ShengBao Duan; YuJue Wang; HongMei Wang; Xin Gao
Journal:  Med Biol Eng Comput       Date:  2022-03-07       Impact factor: 3.079

  1 in total

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