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Related Concept Videos

Atomic Force Microscopy01:08

Atomic Force Microscopy

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Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...
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Updated: Jun 12, 2025

Automation of Bio-Atomic Force Microscope Measurements on Hundreds of C. albicans Cells
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Biomechanics Model to Characterize Atomic Force Microscopy-Based Virus-Host Cell Adhesion Measurements.

Jiajun Wang1, Matthew Ziarnik1, X Frank Zhang2

  • 1Department of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.

The Journal of Physical Chemistry. B
|September 24, 2024
PubMed
Summary
This summary is machine-generated.

We developed a new model to quantify virus-cell adhesion using atomic force microscopy (AFM). This model accurately predicts pull-off forces, offering a refined understanding of viral interactions and improving AFM data interpretation.

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Area of Science:

  • Biophysics
  • Materials Science
  • Virology

Background:

  • Virus-cell adhesion is crucial for infection.
  • Existing models lack precision in quantifying adhesive properties.
  • Atomic force microscopy (AFM) provides force-distance data but requires robust models for interpretation.

Purpose of the Study:

  • To present a refined cohesive zone model for virus-cell adhesion.
  • To enable quantitative extraction of adhesive properties from AFM measurements.
  • To account for receptor deformability in viral adhesion.

Main Methods:

  • Extended a continuum model using a cohesive zone model with pull-off stress and characteristic displacement.
  • Represented viral receptors as a Winkler foundation.
  • Compared model-simulated force-separation curves with experimental AFM data.

Main Results:

  • The model effectively explains AFM pull-off force traces.
  • Successfully quantified adhesion parameters, including pull-off stress and displacement.
  • Demonstrated the model's ability to account for receptor deformability.

Conclusions:

  • The refined model offers a more accurate understanding of virus-cell adhesion.
  • Provides a framework for interpreting and predicting AFM force spectroscopy measurements.
  • Facilitates quantitative analysis of adhesive interactions involving viral proteins and cell surface components.