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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: May 30, 2025

Investigating Single Molecule Adhesion by Atomic Force Spectroscopy

Investigating Single Molecule Adhesion by Atomic Force Spectroscopy

Published on: February 27, 2015

How Much Data Are Enough? Toward Statistically Robust Adhesion Experiments by Atomic Force Microscopy.

Agnes Specht¹, Dominik Krämer¹, Nicolas Helfricht^1,2

¹Department of Physical Chemistry II, University of Bayreuth, Universitaetsstrasse 30, Bayreuth 95447, Germany.

Langmuir : the ACS Journal of Surfaces and Colloids

|January 29, 2025

Summary

Determining the optimal number of atomic force microscopy (AFM) force curves prevents data oversampling and enhances statistical reliability. This method, especially with colloidal probe techniques, saves time and improves sample heterogeneity analysis.

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Area of Science:

Surface science
Nanotechnology
Materials science

Background:

Atomic force microscopy (AFM) is crucial for direct force measurements, particularly adhesion studies using the colloidal probe technique.
The colloidal probe technique attaches a particle to an AFM cantilever, allowing versatile colloid/surface interaction analysis.
The optimal number of force measurements for statistically reliable results remains sparsely addressed.

Purpose of the Study:

To determine the minimum number of force curves needed for statistically reliable AFM measurements.
To prevent oversampling of data in force measurement experiments.
To improve the reliability and efficiency of analyzing sample heterogeneity.

Main Methods:

Application of simple statistical methods for experimental design in AFM force measurements.
Real-time determination of the required data size during data acquisition.
Utilizing fluidic force microscopy (FluidFM) for diverse colloidal particle selection.

Main Results:

An optimal number of force curves can be determined during AFM data acquisition, preventing oversampling.
The proposed statistical approach enhances the reliability and reduces the time needed to assess sample heterogeneity.
Surface roughness of probe particles is a major source of variation in colloidal probe AFM, necessitating varied particle use.

Conclusions:

Statistical experimental design enables efficient and reliable AFM force measurements.
FluidFM combined with real-time data size determination facilitates high-throughput unattended measurements.
This approach opens new avenues for advanced surface interaction analysis and material characterization.