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Related Experiment Video

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Imaging Molecular Adhesion in Cell Rolling by Adhesion Footprint Assay
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Label-Free Imaging of Single-Cell Adhesion Using Phase Angle-Responsive Light-Addressable Electrochemical Sensors.

Yao Meng1,2, Sen Wang3,2, Jiale Li1,2

  • 1Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.

Analytical Chemistry
|November 19, 2025
PubMed
Summary

We developed a new label-free imaging method using phase angle analysis to precisely measure single-cell adhesion. This technique offers a powerful tool for understanding cell behavior and developing new therapies.

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Area of Science:

  • Biophysics
  • Cell Biology
  • Biosensing Technology

Background:

  • Cell adhesion to the extracellular matrix (ECM) is vital for biological functions and disease.
  • Existing cell adhesion assays often require labeling or lack single-cell resolution.

Purpose of the Study:

  • To introduce a novel label-free, single-cell imaging technique for assessing cell-substrate adhesion.
  • To demonstrate the utility of phase angle analysis in electrochemical sensing for cell adhesion studies.

Main Methods:

  • Development of a phase angle-responsive light-addressable electrochemical sensor (LAES).
  • Utilizing phase angle analysis to detect interfacial dielectric changes at the cell-substrate interface.
  • Quantitative assessment of cell adhesion across different cell types and substrates.
  • Dynamic modulation of cell adhesion using ECM coatings and trypsin treatment.

Main Results:

  • Phase angle analysis provides robust detection of cell adhesion, overcoming limitations of amplitude-based methods.
  • The platform enables quantitative, label-free, single-cell imaging of cell-substrate adhesion.
  • Phase angle shifts correlate with cell-substrate junction resistance, validated by an electrical equivalent circuit model.
  • The technique demonstrates high sensitivity to changes in adhesion strength.

Conclusions:

  • Phase angle-based LAES is a powerful tool for single-cell adhesion mapping.
  • This technology has significant potential for applications in mechanobiology and screening adhesion-targeting therapies.