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Atomic Force Microscopy

Atomic Force Microscopy

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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Related Experiment Video

Updated: Jul 9, 2025

Extracting the Young's Modulus of Native Murine Pulmonary Basement Membranes from Atomic Force Microscopy Derived Force Maps

Extracting the Young's Modulus of Native Murine Pulmonary Basement Membranes from Atomic Force Microscopy Derived Force Maps

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A Method for Analyzing AFM Force Mapping Data Obtained from Soft Tissue Cryosections.

Cydney A Wong¹, Nina Sara Fraticelli Guzmán², A Thomas Read¹

¹Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, GA, USA.

Biorxiv : the Preprint Server for Biology

|November 28, 2023

Summary

This summary is machine-generated.

This study introduces a new Atomic Force Microscopy (AFM) method for analyzing soft tissue mechanics using cryosections. This robust pipeline enhances the reliability of mechanical property measurements in heterogeneous biological samples.

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Last Updated: Jul 9, 2025

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Measuring the Mechanical Properties of Living Cells Using Atomic Force Microscopy

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Area of Science:

Biophysics
Materials Science
Ophthalmology

Background:

Atomic Force Microscopy (AFM) is crucial for evaluating biological sample mechanics.
Interpreting AFM data from heterogeneous whole tissues presents significant challenges.
Robust methods are needed to accurately assess soft tissue mechanical properties.

Conclusions:

The proposed AFM methodology provides a reliable approach for characterizing soft tissue mechanics.
This pipeline can be widely adopted for analyzing cryosectioned soft tissues.
The findings contribute to a better understanding of tissue biomechanics.