The study of flow and particle dynamics in microfluidic cross-slot channels is of high relevance for lab-on-a-chipapplications. In this work, we investigate the dynamics of a rigid spherical particle in a cross-slot j...The study of flow and particle dynamics in microfluidic cross-slot channels is of high relevance for lab-on-a-chipapplications. In this work, we investigate the dynamics of a rigid spherical particle in a cross-slot junction for a channelheight-to-width ratio of 0.6 and at a Reynolds number of 120 for which a steady vortex exists in the junction area.Using an in-house immersed-boundary-lattice-Boltzmann code, we analyse the effect of the entry position of theparticle in the junction and the particle size on the dynamics and trajectory shape of the particle. We find that thedynamics of the particle depend strongly on its lateral entry position in the junction and weakly on its vertical entryposition;particles that enter close to the centre show trajectory oscillations. Larger particles have longer residencetimes in the junction and tend to oscillate less due to their confinement. Our work contributes to the understanding ofparticle dynamics in intersecting flows and enables the design of optimised geometries for cytometry and particlemanipulation.展开更多
In this report,we present multiparameter deformability cytometry(m-DC),in which we explore a large set of parameters describing the physical phenotypes of pluripotent cells and their derivatives.m-DC utilizes microflu...In this report,we present multiparameter deformability cytometry(m-DC),in which we explore a large set of parameters describing the physical phenotypes of pluripotent cells and their derivatives.m-DC utilizes microfluidic inertial focusing and hydrodynamic stretching of single cells in conjunction with high-speed video recording to realize high-throughput characterization of over 20 different cell motion and morphology-derived parameters.Parameters extracted from videos include size,deformability,deformation kinetics,and morphology.We train support vector machines that provide evidence that these additional physical measurements improve classification of induced pluripotent stem cells,mesenchymal stem cells,neural stem cells,and their derivatives compared to size and deformability alone.In addition,we utilize visual interactive stochastic neighbor embedding to visually map the high-dimensional physical phenotypic spaces occupied by these stem cells and their progeny and the pathways traversed during differentiation.This report demonstrates the potential of m-DC for improving understanding of physical differences that arise as cells differentiate and identifying cell subpopulations in a label-free manner.Ultimately,such approaches could broaden our understanding of subtle changes in cell phenotypes and their roles in human biology.展开更多
基金T.K.received funding from the European Research Council(ERC)under the European Union’s Horizon 2020 research and innovation programme(803553)This work used the Cirrus UK National Tier-2 HPC Service at EPCC(https://www.cirrus.ac.uk)。
文摘The study of flow and particle dynamics in microfluidic cross-slot channels is of high relevance for lab-on-a-chipapplications. In this work, we investigate the dynamics of a rigid spherical particle in a cross-slot junction for a channelheight-to-width ratio of 0.6 and at a Reynolds number of 120 for which a steady vortex exists in the junction area.Using an in-house immersed-boundary-lattice-Boltzmann code, we analyse the effect of the entry position of theparticle in the junction and the particle size on the dynamics and trajectory shape of the particle. We find that thedynamics of the particle depend strongly on its lateral entry position in the junction and weakly on its vertical entryposition;particles that enter close to the centre show trajectory oscillations. Larger particles have longer residencetimes in the junction and tend to oscillate less due to their confinement. Our work contributes to the understanding ofparticle dynamics in intersecting flows and enables the design of optimised geometries for cytometry and particlemanipulation.
基金We acknowledge financial support from the Packard Foundation and the National Science Foundation grant no.1150588.
文摘In this report,we present multiparameter deformability cytometry(m-DC),in which we explore a large set of parameters describing the physical phenotypes of pluripotent cells and their derivatives.m-DC utilizes microfluidic inertial focusing and hydrodynamic stretching of single cells in conjunction with high-speed video recording to realize high-throughput characterization of over 20 different cell motion and morphology-derived parameters.Parameters extracted from videos include size,deformability,deformation kinetics,and morphology.We train support vector machines that provide evidence that these additional physical measurements improve classification of induced pluripotent stem cells,mesenchymal stem cells,neural stem cells,and their derivatives compared to size and deformability alone.In addition,we utilize visual interactive stochastic neighbor embedding to visually map the high-dimensional physical phenotypic spaces occupied by these stem cells and their progeny and the pathways traversed during differentiation.This report demonstrates the potential of m-DC for improving understanding of physical differences that arise as cells differentiate and identifying cell subpopulations in a label-free manner.Ultimately,such approaches could broaden our understanding of subtle changes in cell phenotypes and their roles in human biology.
