title: Streamline based design guideline for deterministic microfluidic hydrodynamic single cell traps.
abstract: A prerequisite for single cell study is the capture and isolation of individual cells. In microfluidic devices, cell capture is often achieved by means of trapping. While many microfluidic trapping techniques exist, hydrodynamic methods are particularly attractive due to their simplicity and scalability. However, current design guidelines for single cell hydrodynamic traps predominantly rely on flow resistance manipulation or qualitative streamline analysis without considering the target particle size. This lack of quantitative design criteria from first principles often leads to non-optimal probabilistic trapping. In this work, we describe an analytical design guideline for deterministic single cell hydrodynamic trapping through the optimization of streamline distributions under laminar flow with cell size as a key parameter. Using this guideline, we demonstrate an example design which can achieve 100% capture efficiency for a given particle size. Finite element modelling was used to determine the design parameters necessary for optimal trapping. The simulation results were subsequently confirmed with on-chip microbead and white blood cell trapping experiments.
authors.affiliation: Department of Biomedical Engineering, The George Washington University , Washington, District of Columbia 20052, USA.
authors.forename: Allan
authors.identifier: 0000-0001-9292-4582
authors.initials: A
authors.lastname: Guan
authors.affiliation: Department of Biomedical Engineering, The George Washington University , Washington, District of Columbia 20052, USA.
authors.forename: Aditi
authors.initials: A
authors.lastname: Shenoy
authors.affiliation: Department of Biomedical Engineering, The George Washington University , Washington, District of Columbia 20052, USA.
authors.forename: Richard
authors.initials: R
authors.lastname: Smith
authors.affiliation: Department of Biomedical Engineering, The George Washington University , Washington, District of Columbia 20052, USA.
authors.forename: Zhenyu
authors.identifier: 0000-0002-7752-6225
authors.initials: Z
authors.lastname: Li
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