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Bulletin of Mathematical Biology

, Volume 49, Issue 2, pp 171–185 | Cite as

A probabilistic approach for evaluating a technique for an indirect monitoring of the capillary blood flow to the gastric parietal cells

  • Ingrid Torrång
  • Allan Gut
  • Lena Holm-Rutili
  • Karl Johan Öbrink
Article
  • 25 Downloads

Abstract

The superficial capillary network of the gastric mucosa can be monitored for red blood cell velocity measurements by a microscopic technique. This network, however, reflects the blood flow in capillaries of more physiological interest, namely those passing by the acid-producing cells and emptying into the superficial network. It is, however, not possible to study these capillaries directly and therefore the problem is to determine in what way and to what degree blood flow measurements in the superficial network reflect the capillary flow of interest. A probabilistic approach where the movements of the red blood cells have been analysed, gives indications of determinable relations between observations on the superficial network flow and the flow passing the acid-producing cells.

Keywords

Gastric Mucosa Parietal Cell Gastric Gland Surface Epithelial Cell Capillary Blood Flow 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Literature

  1. Feller, W. 1968.An Introduction to Probability Theory and its Applications, Vol. 1, 3rd edn New York, Wiley.Google Scholar
  2. Holm-Rutili, L. and K. J. Öbrink. 1985. “Rat Gastric Mucosal Microcirculationin Vivo”.Am. J. Physiol. 248, G741-G746.Google Scholar
  3. Teorell, T. 1933. “Untersuchungen über die Magensaftsekretion”.Skand. Arch. Physiol. 66, 225–317.Google Scholar
  4. Torrång, I. 1982. “En Stokastisk Modell för Blodflödet i Magslemhinnan.” Uppsala University, Department of Mathematics, Project Report, 1982: P1.Google Scholar

Copyright information

© Society for Mathematical Biology 1987

Authors and Affiliations

  • Ingrid Torrång
    • 1
  • Allan Gut
    • 1
  • Lena Holm-Rutili
    • 2
  • Karl Johan Öbrink
    • 2
  1. 1.Department of MathematicsUppsala UniversityUppsalaSweden
  2. 2.Department of Physiology and Medical Biophysics, Biomedical CenterUppsala UniversityUppsalaSweden

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