ArticleBiophysical journal2015
Extracting Cell Stiffness from Real-Time Deformability Cytometry: Theory and Experiment.
Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.
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Who cites it
116 citing papers in PubMed.
- Simulation-Based Microfluidic Deformation Mapping for Region-Dependent Apparent Young's Modulus Estimation of Single Cells.Biosensors · 2026Article
- Volume and surface methods for microparticle traction force microscopy: a computational and experimental comparison.Soft matter · 2026Article
- Atomic force microscopy-based nanomechanical signatures as cancer biomarkers in a nutshell.FEBS letters · 2026Review
- Mechanically Programmable DNA Hydrogel Microparticles for 3D Cellular Systems.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Inertial forces and elastohydrodynamic interaction of spherical particles in wall-bounded sedimentation experiments at lowThe European physical journal. E, Soft matter · 2026Article
- Comparative Evaluation of Two Image-Analysis Software Platforms for Microfluidic Assessment of Red Blood Cell Deformability in Chronic Lymphocytic Leukemia.Micromachines · 2026Article
- Single-Cell Morphomechanics of Prostate Cancer-Associated Fibroblasts Identifies Distinct Features Associated with Patient Outcome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Looking at endometriosis-diagnosis and disease mechanisms through a mechanical lens.Frontiers in medicine · 2026Review
- B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses.FEBS letters · 2025Review
- Understanding and measuring mechanical signals in the tumor stroma.FEBS open bio · 2025Review
- High-Throughput Mechanical Characterization of Single Microgel Particles by Fluidic Force Microscopy.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Targeting cancer cell stiffness and metastasis with clinical therapeutics.Clinical & experimental metastasis · 2025Review
- Image-based evaluation of single-cell mechanics using deep learning.Cell regeneration (London, England) · 2025Article
- Review
- Transient flow-induced deformation of cancer cells in microchannels: a general computational model and experiments.Biomechanics and modeling in mechanobiology · 2025Article
- MIML: multiplex image machine learning for high precision cell classification via mechanical traits within microfluidic systems.Microsystems & nanoengineering · 2025Article
- Conditions for a microfluidic creep experiment for microparticles using a cross-slot extensional flow device.Biomicrofluidics · 2025Article
- Cytoskeleton-functionalized synthetic cells with life-like mechanical features and regulated membrane dynamicity.Nature chemistry · 2025Article
- Article
- Thermomechanical properties of bat and human red blood cells-Implications for hibernation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
56 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell stiffness is a sensitive indicator of physiological and pathological changes in cells, with many potential applications in biology and medicine. A new method, real-time deformability cytometry, probes cell stiffness at high throughput by exposing cells to a shear flow in a microfluidic channel, allowing for mechanical phenotyping based on single-cell deformability. However, observed deformations of cells in the channel not only are determined by cell stiffness, but also depend on cell size relative to channel size. Here, we disentangle mutual contributions of cell size and cell stiffness to cell deformation by a theoretical analysis in terms of hydrodynamics and linear elasticity theory. Performing real-time deformability cytometry experiments on both model spheres of known elasticity and biological cells, we demonstrate that our analytical model not only predicts deformed shapes inside the channel but also allows for quantification of cell mechanical parameters. Thereby, fast and quantitative mechanical sampling of large cell populations becomes feasible.
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