Literature DB >> 29473072

Numerical-experimental observation of shape bistability of red blood cells flowing in a microchannel.

Achim Guckenberger1, Alexander Kihm, Thomas John, Christian Wagner, Stephan Gekle.   

Abstract

Red blood cells flowing through capillaries assume a wide variety of different shapes owing to their high deformability. Predicting the realized shapes is a complex field as they are determined by the intricate interplay between the flow conditions and the membrane mechanics. In this work we construct the shape phase diagram of a single red blood cell with a physiological viscosity ratio flowing in a microchannel. We use both experimental in vitro measurements as well as 3D numerical simulations to complement the respective other one. Numerically, we have easy control over the initial starting configuration and natural access to the full 3D shape. With this information we obtain the phase diagram as a function of initial position, starting shape and cell velocity. Experimentally, we measure the occurrence frequency of the different shapes as a function of the cell velocity to construct the experimental diagram which is in good agreement with the numerical observations. Two different major shapes are found, namely croissants and slippers. Notably, both shapes show coexistence at low (<1 mm s-1) and high velocities (>3 mm s-1) while in-between only croissants are stable. This pronounced bistability indicates that RBC shapes are not only determined by system parameters such as flow velocity or channel size, but also strongly depend on the initial conditions.

Mesh:

Year:  2018        PMID: 29473072     DOI: 10.1039/c7sm02272g

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  12 in total

1.  Applications of machine learning for simulations of red blood cells in microfluidic devices.

Authors:  Hynek Bachratý; Katarína Bachratá; Michal Chovanec; Iveta Jančigová; Monika Smiešková; Kristína Kovalčíková
Journal:  BMC Bioinformatics       Date:  2020-03-11       Impact factor: 3.169

2.  High-Throughput Microfluidic Characterization of Erythrocyte Shapes and Mechanical Variability.

Authors:  Felix Reichel; Johannes Mauer; Ahmad Ahsan Nawaz; Gerhard Gompper; Jochen Guck; Dmitry A Fedosov
Journal:  Biophys J       Date:  2019-05-29       Impact factor: 4.033

3.  Antimargination of Microparticles and Platelets in the Vicinity of Branching Vessels.

Authors:  Christian Bächer; Alexander Kihm; Lukas Schrack; Lars Kaestner; Matthias W Laschke; Christian Wagner; Stephan Gekle
Journal:  Biophys J       Date:  2018-07-17       Impact factor: 4.033

4.  Creeping motion of a solid particle inside a spherical elastic cavity.

Authors:  Abdallah Daddi-Moussa-Ider; Hartmut Löwen; Stephan Gekle
Journal:  Eur Phys J E Soft Matter       Date:  2018-09-11       Impact factor: 1.890

5.  Spatiotemporal Dynamics of Dilute Red Blood Cell Suspensions in Low-Inertia Microchannel Flow.

Authors:  Qi Zhou; Joana Fidalgo; Lavinia Calvi; Miguel O Bernabeu; Peter R Hoskins; Mónica S N Oliveira; Timm Krüger
Journal:  Biophys J       Date:  2020-04-04       Impact factor: 4.033

6.  Red blood cell shape transitions and dynamics in time-dependent capillary flows.

Authors:  Steffen M Recktenwald; Katharina Graessel; Felix M Maurer; Thomas John; Stephan Gekle; Christian Wagner
Journal:  Biophys J       Date:  2021-12-09       Impact factor: 4.033

7.  Lingering Dynamics in Microvascular Blood Flow.

Authors:  Alexander Kihm; Stephan Quint; Matthias W Laschke; Michael D Menger; Thomas John; Lars Kaestner; Christian Wagner
Journal:  Biophys J       Date:  2021-01-12       Impact factor: 4.033

8.  The Erythrocyte Sedimentation Rate and Its Relation to Cell Shape and Rigidity of Red Blood Cells from Chorea-Acanthocytosis Patients in an Off-Label Treatment with Dasatinib.

Authors:  Antonia Rabe; Alexander Kihm; Alexis Darras; Kevin Peikert; Greta Simionato; Anil Kumar Dasanna; Hannes Glaß; Jürgen Geisel; Stephan Quint; Adrian Danek; Christian Wagner; Dmitry A Fedosov; Andreas Hermann; Lars Kaestner
Journal:  Biomolecules       Date:  2021-05-12

9.  Classification of red blood cell shapes in flow using outlier tolerant machine learning.

Authors:  Alexander Kihm; Lars Kaestner; Christian Wagner; Stephan Quint
Journal:  PLoS Comput Biol       Date:  2018-06-15       Impact factor: 4.475

10.  A hyperelastic model for simulating cells in flow.

Authors:  Sebastian J Müller; Franziska Weigl; Carina Bezold; Christian Bächer; Krystyna Albrecht; Stephan Gekle
Journal:  Biomech Model Mechanobiol       Date:  2020-11-20
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