Oscillating non-progressing flows induce directed cell motion

Schmidt, W.; Förtsch, Andre; Laumann, Matthias; Zimmermann, Walter

doi:10.1103/physrevfluids.7.l032201

Cited by 4 publications

(7 citation statements)

References 60 publications

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“…Under stepwise flow waveform (I s ), our simulation results agree well with the propulsion step map (∆x c , Ca f ), which was developed by Schmidt et al (2022) for both channels χ 2 = 0.5 and χ 3 = 0.38. In both cases, the propulsion step (∆x c ) is observed to monotonically increase with the values of Ca f .…”

Section: Propulsion Of Rbc Under Stepwise Oscillatory Flows (I S )supporting

confidence: 80%

“…To further validate our FSI model in oscillatory flows, the propulsion of the RBC in square channels is investigated (Schmidt et al, 2022). Two square channels (Channel-2…”

Section: Stepwise Oscillatory Flows (I S )mentioning

confidence: 99%

“…Several factors can affect the dynamics of RBCs, such as stiffness of the membrane (Czaja et al, 2020), shear rate γ (Lanotte et al, 2016;Mauer et al, 2018), and viscosity contrast (λ) between the blood plasma and the cytosol (Mauer et al, 2018), among other factors. As a result, the RBC deformation process in shear flow is not well understood, especially under time-dependent shear rates (Schmidt et al, 2022;Krauss et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, oscillatory flow (time-dependent shear rate -γf ) has been shown to be a promising technique for cell separation. Because cell deformation is irreversible under time-dependent shear rates (Mutlu et al, 2018;Schmidt et al, 2022), oscillatory flows have been suggested to sort RBCs based on their size and deformability (Krauss et al, 2022). Oscillatory flows can reduce the required travel distance of cells because it induces the lateral migration of cells in a short axial distance.…”

Section: Introductionmentioning

confidence: 99%

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Shape transitions of Red Blood Cell under oscillatory flows in microchannels

Akerkouch,

2023

Preprint

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This paper aims to examine the ability to control Red Blood Cell (RBCs) dynamics and the associated extracellular flow patterns in microfluidic channels via oscillatory flows. Our computational approach employs a hybrid continuum-particle coupling, in which the cell membrane and cytosol fluid are modeled using the Dissipative Particle Dynamics (DPD) method. The blood plasma is modeled as an incompressible fluid via the Immersed Boundary Method (IBM). This coupling is novel because it provides an accurate description of RBC dynamics while the extracellular flow patterns around the RBCs are also captured in detail. Our coupling methodology is validated with available experimental and computational data in the literature and shows excellent agreement. We explore the controlling regimes by varying the shape of the oscillatory flow waveform at the channel inlet. Our simulation results show that a host of RBC morphological dynamics emerges depending on the channel geometry, the incoming flow waveform, and the RBC initial location. Complex dynamics of RBC are induced by the flow waveform. Our results show that the RBC shape is strongly dependent on its initial location. Our results suggest that the controlling of oscillatory flows can be used to induce specific morphological shapes of RBCs and the surrounding fluid patterns in bio-engineering applications.

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Section: Propulsion Of Rbc Under Stepwise Oscillatory Flows (I S )supporting

confidence: 80%

“…To further validate our FSI model in oscillatory flows, the propulsion of the RBC in square channels is investigated (Schmidt et al, 2022). Two square channels (Channel-2…”

Section: Stepwise Oscillatory Flows (I S )mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Shape transitions of Red Blood Cell under oscillatory flows in microchannels

Akerkouch,

2023

Preprint

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“…the framework of the axial migration of a droplet has been extended by Santra and Chakraborty [11] by including the effect of an electric field, and finding that as the strength of the electric field increases, droplets can reach the centerline at a faster rate with reduced axial oscillations. Furthermore, a deformation-dependent propulsion of soft particles, including biological cells, were confirmed experimentally by Krauss et al [12] and numerically by Schmidt et al [13].…”

Section: Introductionmentioning

confidence: 78%

Enhanced axial migration of a deformable capsule in pulsatile channel flows

Takeishi

Rosti

2023

Phys. Rev. Fluids

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We present a numerical analysis of the lateral movement of a deformable spherical capsule in a pulsatile channel flow, with a Newtonian fluid in an almost inertialess condition and at a small confinement ratio a 0 /R = 0.4, where R and a are the channel and capsule radius. We find that the speed of the axial migration of the capsule can be accelerated by the flow pulsation at a specific frequency. The migration speed increases with the oscillatory amplitude, while the most effective frequency remains basically unchanged and independent of the amplitude. Our numerical results form a fundamental basis for further studies on cellular flow mechanics, since pulsatile flows are physiologically relevant in human circulation, potentially affecting the dynamics of deformable particles and red blood cells, and can also be potentially exploited in cell focusing techniques.

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Dynamics of flexible fibers in confined shear flows at finite Reynolds numbers

Yan

et al. 2023

Physics of Fluids

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We carry out a numerical study on the dynamics of a single non-Brownianflexible fiber in two-dimensionalCouette flows at finite Reynolds numbers. We employ the bead-spring model of flexible fibers to extend the fluid particle dynamics (FPD) method originally developed for rigid particles in viscous fluids. We implement the extended FPD method using a multiple-relaxation-time (MRT) scheme of the lattice Boltzmann method (LBM). The numerical scheme is validated firstly by a series of benchmark simulations involving fluids-solid coupling. The method is then used to study the dynamics of flexible fibers in Couette flows. We only consider the highly symmetric case where the fibers are placed on the symmetry center of Couette flows and we focus on the effects of the fiber stiffness, the confinement strength, and the finite Reynolds number (from 1 to 10). A diagram of the fiber shape is obtained. For fibers under weak confinement and a small Reynolds number, three distinct tumbling orbits have been identified. (1) Jeffery orbits of rigid fibers. The fibers behave like rigid rods and tumble periodically without any visible deformation. (2) S-turn orbits of slightly flexible fibers. The fiber is bent to an S-shape and is straightened again later on. (3) S-coiled orbits of fairly flexible fibers. The fiber is folded to an S-shape and tumbles periodically and steadily without being straightened anymore during its rotation. Moreover, the fiber tumbling is found to be hindered by increasing either the Reynolds number or the confinement strength, or both.

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Oscillating non-progressing flows induce directed cell motion

Cited by 4 publications

References 60 publications

Shape transitions of Red Blood Cell under oscillatory flows in microchannels

Shape transitions of Red Blood Cell under oscillatory flows in microchannels

Enhanced axial migration of a deformable capsule in pulsatile channel flows

Dynamics of flexible fibers in confined shear flows at finite Reynolds numbers

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