Literature DB >> 3740569

Methods to measure blood flow velocity of red blood cells in vivo at the microscopic level.

D W Slaaf, T J Jeurens, G J Tangelder, R S Reneman, T Arts.   

Abstract

Several methods to measure red blood cell velocity in microvessels by electronic means are discussed. Signals are generated by the red blood cells present in the microscopic image of the microvessels. These signals can be converted to obtain an output signal proportional to the actual red blood cell velocity. The method of spatial filtering by interlacing gratings is discussed in terms of a filter with an input signal. Adaptation of optical factors that might improve the velocity measurement is obtained by a mathematical analysis. Different methods of correlation are presented. The temporal correlation (dual slit and video window) and spatial correlation methods are discussed in relation to factors influencing the quality of the correlogram, the peak of which is proportional to red blood cell velocity. The conversion of red blood cell velocity to volume flow is put in perspective.

Mesh:

Year:  1986        PMID: 3740569     DOI: 10.1007/bf02584268

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  12 in total

1.  Capillary red blood cell velocity measurements in human nailfold by videodensitometric method.

Authors:  P Butti; M Intaglietta; H Reimann; C Holliger; A Bollinger; M Anliker
Journal:  Microvasc Res       Date:  1975-09       Impact factor: 3.514

2.  Capillary flow velocity measurements in vivo and in situ by television methods.

Authors:  M Intaglietta; N R Silverman; W R Tompkins
Journal:  Microvasc Res       Date:  1975-09       Impact factor: 3.514

3.  Contributions of pressure and flow sensitivity to autoregulation in mesenteric arterioles.

Authors:  P C Johnson; M Intaglietta
Journal:  Am J Physiol       Date:  1976-12

4.  A television method for measuring capillary red cell velocities.

Authors:  A H Goodman; A C Guyton; R Drake; J H Loflin
Journal:  J Appl Physiol       Date:  1974-07       Impact factor: 3.531

5.  Analysis of the bidirectional optical three-stage prism grating system for red blood cell velocity measurements in microvessels.

Authors:  T J Jeurens; T Arts; R S Reneman; D W Slaaf
Journal:  Med Biol Eng Comput       Date:  1984-11       Impact factor: 2.602

6.  A video system for measuring the blood flow velocity in microvessels.

Authors:  S E Fu; J S Lee
Journal:  IEEE Trans Biomed Eng       Date:  1978-05       Impact factor: 4.538

7.  Experimental calibration of a two-stage prism-grating system for measuring cell velocity.

Authors:  H Kiesewetter; H Radtke; N Körber; H Schmid-Schönbein
Journal:  Microvasc Res       Date:  1982-01       Impact factor: 3.514

8.  A bidirectional optical (BDO) three-stage prism grating system for on-line measurement of red blood cells velocity in microvessels.

Authors:  D W Slaaf; J P Rood; G J Tangelder; T J Jeurens; R Alewijnse; R S Reneman; T Arts
Journal:  Microvasc Res       Date:  1981-07       Impact factor: 3.514

9.  A method for on-line measurements of red cell velocity in microvessels using computerized frame-by-frame analysis of television images.

Authors:  K Tyml; M H Sherebrin
Journal:  Microvasc Res       Date:  1980-07       Impact factor: 3.514

10.  Erythrocyte velocity measurement in microvessels by a two-slit photometric method.

Authors:  H Wayland; P C Johnson
Journal:  J Appl Physiol       Date:  1967-02       Impact factor: 3.531

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  3 in total

1.  Fractal analysis of blood-tissue exchange kinetics.

Authors:  J B Bassingthwaighte; R B King; J E Sambrook; B van Steenwyk
Journal:  Adv Exp Med Biol       Date:  1988       Impact factor: 2.622

Review 2.  Oxygen transport in the microcirculation and its regulation.

Authors:  Roland N Pittman
Journal:  Microcirculation       Date:  2013-02       Impact factor: 2.628

3.  Double-pulse laser illumination method for measuring fast cerebral blood flow velocities in the deep brain using a fiber-bundle-based endomicroscopy system.

Authors:  Minkyung Kim; Jinki Hong; Hyun-Joon Shin
Journal:  Biomed Opt Express       Date:  2018-05-21       Impact factor: 3.732

  3 in total

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