ArticleBiomicrofluidics2015
Streamline based design guideline for deterministic microfluidic hydrodynamic single cell traps.
Article in Biomicrofluidics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Microfluidic systems for hydrodynamic trapping of cells and clusters.Biomicrofluidics · 2020Review
- Efficient Low Shear Flow-based Trapping of Biological Entities.Scientific reports · 2019Article
- A Microfluidic-Based Microscopy Platform for Continuous Interrogation of Trypanosoma brucei during Environmental Perturbation.Biochemistry · 2019Article
- Deterministic trapping, encapsulation and retrieval of single-cells.Lab on a chip · 2017Article
- Reconfigurable microfluidic device with discretized sidewall.Biomicrofluidics · 2017Article
- Microfluidic Sample Preparation for Single Cell Analysis.Analytical chemistry · 2016Review
- Highly efficient and gentle trapping of single cells in large microfluidic arrays for time-lapse experiments.Biomicrofluidics · 2016Article
- Separation of sperm and epithelial cells based on the hydrodynamic effect for forensic analysis.Biomicrofluidics · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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