Alterations of red blood cell shape and sialic acid membrane content in septic patients

2003 ◽  
Vol 31 (8) ◽  
pp. 2156-2162 ◽  
Author(s):  
Michael Piagnerelli ◽  
Karim Zouaoui Boudjeltia ◽  
Danny Brohee ◽  
Pietrina Piro ◽  
Eric Carlier ◽  
...  
Keyword(s):  
Sialic Acid ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Shape

Red Blood Cell Shape

2020 ◽  
pp. 401-421
Author(s):  
Brian S. Bull ◽  
Douglas Brailsford
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Shape

scholarly journals Shape matters: the effect of red blood cell shape on perfusion of an artificial microvascular network

Transfusion ◽  
2015 ◽  
Vol 56 (4) ◽  
pp. 844-851 ◽  
Author(s):  
Nathaniel Z. Piety ◽  
Walter H. Reinhart ◽  
Patrick H. Pourreau ◽  
Rajaa Abidi ◽  
Sergey S. Shevkoplyas
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Shape ◽  
Microvascular Network

RELATIONSHIP BETWEEN RED BLOOD CELL SPHERICAL SHAPE AND SIALIC ACID MEMBRANE CONTENT IN SEPTIC PATIENTS.

1999 ◽  
Vol 27 (Supplement) ◽  
pp. A36
Author(s):  
Michael Piagnerelli ◽  
Karim Zouaoui Boudjeltia ◽  
Michel Vanhaeverbeek ◽  
Pietrina Piro ◽  
Jean Louis Vincent ◽  
...  
Keyword(s):  
Sialic Acid ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Spherical Shape

AN EFFICIENT IDENTIFICATION OF RED BLOOD CELL EQUILIBRIUM SHAPE USING NEURAL NETWORKS

2021 ◽  
Vol 9 (2) ◽  
pp. 39-56
Author(s):  
Houda Fahim ◽  
◽  
Olivier Sawadogo ◽  
Nour Alaa ◽  
Mohammed Guedda ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Shape ◽  
Applied Mathematics ◽  
Equilibrium Shape ◽  
Shape Identification ◽  
Curvature Energy ◽  
Neural Network Algorithm ◽  
New Formulation ◽  
Additional Constraints

This work of applied mathematics with interfaces in bio-physics focuses on the shape identification and numerical modelisation of a single red blood cell shape. The purpose of this work is to provide a quantitative method for interpreting experimental observations of the red blood cell shape under microscopy. In this paper we give a new formulation based on classical theory of geometric shape minimization which assumes that the curvature energy with additional constraints controls the shape of the red blood cell. To minimize this energy under volume and area constraints, we propose a new hybrid algorithm which combines Particle Swarm Optimization (PSO), Gravitational Search (GSA) and Neural Network Algorithm (NNA). The results obtained using this new algorithm agree well with the experimental results given by Evans et al. (8) especially for sphered and biconcave shapes.

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