Computer simulation using particle method for coupled problem of blood flow and deformation of red blood cell

2003 ◽  
Vol 2003.16 (0) ◽  
pp. 297-298
Author(s):  
Kenichi TSUBOTA ◽  
Shigeo WADA ◽  
Takami YAMAGUCHI
Keyword(s):  
Computer Simulation ◽  
Blood Flow ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Particle Method ◽  
Coupled Problem

Particle method for computer simulation of red blood cell motion in blood flow

2006 ◽  
Vol 83 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Ken-ichi Tsubota ◽  
Shigeo Wada ◽  
Takami Yamaguchi
Keyword(s):  
Computer Simulation ◽  
Blood Flow ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Particle Method ◽  
Cell Motion

In vivo microvascular structural and functional consequences of muscle length changes

1997 ◽  
Vol 272 (5) ◽  
pp. H2107-H2114 ◽  
Author(s):  
D. C. Poole ◽  
T. I. Musch ◽  
C. A. Kindig
Keyword(s):  
Blood Flow ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Oxygen Delivery ◽  
Sarcomere Length ◽  
Flow Dynamics ◽  
Capillary Diameter ◽  
Luminal Diameter ◽  
Length Changes

As muscles are stretched, blood flow and oxygen delivery are compromised, and consequently muscle function is impaired. We tested the hypothesis that the structural microvascular sequellae associated with muscle extension in vivo would impair capillary red blood cell hemodynamics. We developed an intravital spinotrapezius preparation that facilitated direct on-line measurement and alteration of sarcomere length simultaneously with determination of capillary geometry and red blood cell flow dynamics. The range of spinotrapezius sarcomere lengths achievable in vivo was 2.17 +/- 0.05 to 3.13 +/- 0.11 microns. Capillary tortuosity decreased systematically with increases of sarcomere length up to 2.6 microns, at which point most capillaries appeared to be highly oriented along the fiber longitudinal axis. Further increases in sarcomere length above this value reduced mean capillary diameter from 5.61 +/- 0.03 microns at 2.4-2.6 microns sarcomere length to 4.12 +/- 0.05 microns at 3.2-3.4 microns sarcomere length. Over the range of physiological sarcomere lengths, bulk blood flow (radioactive microspheres) decreased approximately 40% from 24.3 +/- 7.5 to 14.5 +/- 4.6 ml.100 g-1.min-1. The proportion of continuously perfused capillaries, i.e., those with continuous flow throughout the 60-s observation period, decreased from 95.9 +/- 0.6% at the shortest sarcomere lengths to 56.5 +/- 0.7% at the longest sarcomere lengths and was correlated significantly with the reduced capillary diameter (r = 0.711, P < 0.01; n = 18). We conclude that alterations in capillary geometry and luminal diameter consequent to increased muscle sarcomere length are associated with a reduction in mean capillary red blood cell velocity and a greater proportion of capillaries in which red blood cell flow is stopped or intermittent. Thus not only does muscle stretching reduce bulk blood (and oxygen) delivery, it also alters capillary red blood cell flow dynamics, which may further impair blood-tissue oxygen exchange.

Influence of microflow on hepatic sinusoid blood flow and red blood cell deformation

2021 ◽  
Author(s):  
Tianhao Wang ◽  
Shouqin Lü ◽  
Yinjing Hao ◽  
Zinan Su ◽  
Mian Long ◽  
...  
Keyword(s):  
Blood Flow ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Deformation ◽  
Hepatic Sinusoid

The effect of red blood cell flexibility on blood flow through tubes with diameters in the range 30 to 500 microns

Biorheology ◽  
1979 ◽  
Vol 16 (6) ◽  
pp. 473-483 ◽  
Author(s):  
V. Seshadri ◽  
C. McKay ◽  
M.Y. Jaffrin
Keyword(s):  
Blood Flow ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Flow Through

scholarly journals Role of Red Blood Cell Released ATP in Disturbed Blood Flow‐Initiated Vascular Inflammation and Atherosclerosis

2019 ◽  
Vol 33 (S1) ◽  
Author(s):  
Yunpei Zhang ◽  
Shaowei Huang ◽  
Kyle Brian LaPenna ◽  
Pingnian He
Keyword(s):  
Blood Flow ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Vascular Inflammation

Slow Blood Flow Detection Based on Red Blood Cell Characteristic Volume Model Matching

2019 ◽  
Vol 39 (9) ◽  
pp. 0917002
Author(s):  
陈铭 Ming Chen ◽  
徐君宜 Junyi Xu ◽  
高志山 Zhishan Gao ◽  
朱丹 Dan Zhu ◽  
袁群 Qun Yuan
Keyword(s):  
Blood Flow ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Model Matching ◽  
Volume Model ◽  
Slow Blood Flow ◽  
Flow Detection ◽  
Characteristic Volume
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