ArticleMicrosystems & nanoengineering2020
Microfluidic deformability-activated sorting of single particles.
Article in Microsystems & nanoengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Mechanistic insights into cellular deformation enable enhanced extensional-flow cytometry for label-free classification and sorting.Microsystems & nanoengineering · 2026Article
- Inertial forces and elastohydrodynamic interaction of spherical particles in wall-bounded sedimentation experiments at lowThe European physical journal. E, Soft matter · 2026Article
- Continuous microfluidic flow-through protocol for selective and image-activated electroporation of single cells.RSC advances · 2023Article
- Image-based cell sorting using focused travelling surface acoustic waves.Lab on a chip · 2023Article
- Understanding the dynamics of fluid-structure interaction with an Air Deflected Microfluidic Chip (ADMC).Scientific reports · 2022Article
- Microfluidics Used as a Tool to Understand and Optimize Membrane Filtration Processes.Membranes · 2020Review
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Authors and funding
4 authors.
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Abstract
Mechanical properties have emerged as a significant label-free marker for characterizing deformable particles such as cells. Here, we demonstrated the first single-particle-resolved, cytometry-like deformability-activated sorting in the continuous flow on a microfluidic chip. Compared with existing deformability-based sorting techniques, the microfluidic device presented in this work measures the deformability and immediately sorts the particles one-by-one in real time. It integrates the transit-time-based deformability measurement and active hydrodynamic sorting onto a single chip. We identified the critical factors that affect the sorting dynamics by modeling and experimental approaches. We found that the device throughput is determined by the summation of the sensing, buffering, and sorting time. A total time of ~100 ms is used for analyzing and sorting a single particle, leading to a throughput of 600 particles/min. We synthesized poly(ethylene glycol) diacrylate (PEGDA) hydrogel beads as the deformability model for device validation and performance evaluation. A deformability-activated sorting purity of 88% and an average efficiency of 73% were achieved. We anticipate that the ability to actively measure and sort individual particles one-by-one in a continuous flow would find applications in cell-mechanotyping studies such as correlational studies of the cell mechanical phenotype and molecular mechanism.
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