Key result
An adaptive Eulerian finite element approximation effectively simulated the equilibrium shapes of red blood cells, demonstrating effectiveness through comparisons with semi-analytical solutions.
This study presents an effective adaptive finite element method for modeling the equilibrium shapes of red blood cells and phospholipid membranes.
Answers are grounded in this paper and cite their sources.
Advances numerical RBC modeling; leaves open clinical translation pending experimental validation.
Summary This contribution is concerned with the numerical modeling of an isolated red blood cell (RBC), and more generally of phospholipid membranes. We propose an adaptive Eulerian finite element approximation, based on the level set method, of a shape optimization problem arising in the study of RBCs. We simulate the equilibrium shapes that minimize the elastic bending energy under prescribed constraints of fixed volume and surface area. An anisotropic mesh adaptation technique is used in the vicinity of the cell membrane to enhance the robustness of the method. Efficient time and spatial discretizations are considered and implemented. We address in detail the main features of the proposed method, and finally we report several numerical experiments in the two‐dimensional and the three‐dimensional axisymmetric cases. The effectiveness of the numerical method is further demonstrated through numerical comparisons withsemi‐analyticalsolutions provided by a reduced order model.
No takes yet. Share an insight, caveat, or question.
Laadhari et al. (2015) studied Red blood cell equilibrium. Adaptive Eulerian finite element approximation vs. Semi-analytical solutions was evaluated on Equilibrium shapes minimizing elastic bending energy. An adaptive Eulerian finite element approximation effectively simulated the equilibrium shapes of red blood cells, demonstrating effectiveness through comparisons with semi-analytical solutions.
Synapse has enriched 10 related papers. Consider them for comparative context: