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Related Concept Videos

Atomic Force Microscopy01:08

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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Sub-nanometer Resolution Imaging with Amplitude-modulation Atomic Force Microscopy in Liquid
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Sub-nanometer Resolution Imaging with Amplitude-modulation Atomic Force Microscopy in Liquid

Published on: December 20, 2016

Subsurface atomic force microscopy: towards a quantitative understanding.

G J Verbiest1, J N Simon, T H Oosterkamp

  • 1Kamerlingh Onnes Laboratory, Leiden University, PO Box 9504, 2300 RA Leiden, The Netherlands. Verbiest@physics.leidenuniv.nl

Nanotechnology
|March 22, 2012
PubMed
Summary
This summary is machine-generated.

Subsurface atomic force microscopy can image deep nanoparticles. Rayleigh scattering explains contrast, but numerical and analytical models yield different depth dependencies and particle width, highlighting the importance of reflections and damping.

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Area of Science:

  • Physics
  • Materials Science
  • Nanotechnology

Background:

  • Subsurface atomic force microscopy enables non-destructive imaging of deeply embedded micro- and nanoparticles.
  • Understanding the contrast formation mechanism is crucial for interpreting these images.

Purpose of the Study:

  • To investigate the contrast formation mechanism in subsurface atomic force microscopy.
  • To compare finite element analysis and analytical study predictions with experimental observations.

Main Methods:

  • Performed finite element analysis and analytical studies of ultrasound wave propagation through a sample.
  • Calculated amplitude and phase variations on the sample surface.
  • Modeled Rayleigh scattering of acoustic waves.

Main Results:

  • Rayleigh scattering of acoustic waves was identified as the primary cause of measured contrast.
  • Numerical models indicated contrast is independent of particle burial depth.
  • Analytical models showed a 1/depth dependence for contrast.
  • Significant discrepancies in particle width were observed between numerical and analytical calculations.

Conclusions:

  • Both numerical and analytical models are essential for a comprehensive understanding of subsurface imaging.
  • Reflections at sample interfaces and bulk damping significantly influence contrast formation and require careful consideration in modeling.