Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MUFOLD-DB: a processed protein structure database for protein structure prediction and analysis.

BMC genomics·2015
Same author

The I-TASSER Suite: protein structure and function prediction.

Nature methods·2014
Same author

Genome-wide expression analysis of soybean NF-Y genes reveals potential function in development and drought response.

Molecular genetics and genomics : MGG·2014
Same author

Classification of lung cancer using ensemble-based feature selection and machine learning methods.

Molecular bioSystems·2014
Same author

Resveratrol possesses protective effects in a pristane-induced lupus mouse model.

PloS one·2014
Same author

Protein-losing enteropathy in systemic lupus erythematosus: 12 years experience from a Chinese academic center.

PloS one·2014

Related Experiment Video

Updated: Dec 20, 2025

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements
05:49

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements

Published on: December 2, 2022

3.1K

Cell elasticity measurement using a microfluidic device with real-time pressure feedback.

Zhenlin Chen1, Yonggang Zhu, Dong Xu

  • 1School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China. chenhuaying@hit.edu.cn.

Lab on a Chip
|May 29, 2020
PubMed
Summary

This study introduces a new microfluidic system for precise cell elasticity measurement. The system enhances throughput and accuracy, offering potential for improved disease diagnosis through cell mechanical analysis.

More Related Videos

A Microfluidic Technique to Probe Cell Deformability
09:47

A Microfluidic Technique to Probe Cell Deformability

Published on: September 3, 2014

11.7K
Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

2.7K

Related Experiment Videos

Last Updated: Dec 20, 2025

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements
05:49

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements

Published on: December 2, 2022

3.1K
A Microfluidic Technique to Probe Cell Deformability
09:47

A Microfluidic Technique to Probe Cell Deformability

Published on: September 3, 2014

11.7K
Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

2.7K

Area of Science:

  • Biophysics
  • Cell Biology
  • Biomedical Engineering

Background:

  • Cell elasticity is crucial for understanding cell biology and disease diagnosis.
  • Microfluidic technologies offer high-throughput, automated cell deformation studies.
  • Accurate measurement of cell mechanical properties is essential.

Purpose of the Study:

  • To develop a novel microfluidic system for precise measurement of cell elasticity.
  • To enable accurate measurement of large cell deformations in a constriction channel.
  • To improve throughput and reliability in cell mechanical property evaluation.

Main Methods:

  • Development of a microfluidic system with a particle separation unit and a pressure feedback system.
  • Modeling fluid dynamics for the separation unit to understand its mechanism.
  • Characterization of the pressure system for sensitivity and reproducibility.
  • Application of a power-law rheology model to calculate cell mechanical properties.

Main Results:

  • The microfluidic system precisely measures cell elasticity during large deformations.
  • The integrated separation unit enhances measurement throughput by removing blocking particles.
  • The pressure feedback system accurately detects subtle pressure drops.
  • Measured stiffness and fluidity of K562 and endothelial cells align with previous studies.

Conclusions:

  • The developed microfluidic system accurately measures cell elasticity and viscoelasticity.
  • The system demonstrates high throughput and precision for cell mechanical analysis.
  • This technology holds significant potential for precise cell mechanical property evaluation and disease diagnosis.