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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.
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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
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An atomic orbital represents the three-dimensional regions in an atom where an electron has the highest probability to reside. The radial distribution function indicates the total probability of finding an electron within the thin shell at a distance r from the nucleus. The atomic orbitals have distinct shapes which are determined by l, the angular momentum quantum number. The orbitals are often drawn with a boundary surface, enclosing densest regions of the cloud.
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Atoms and molecules interact through bonds (or forces): intramolecular and intermolecular. The forces are electrostatic as they arise from interactions (attractive or repulsive) between charged species (permanent, partial, or temporary charges) and exist with varying strengths between ions, polar, nonpolar, and neutral molecules. The different types of intermolecular forces are ion–dipole, dipole–dipole, hydrogen bonds, and dispersion; among these, dipole–dipole, hydrogen...
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Bacterial Immobilization for Imaging by Atomic Force Microscopy
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A continuous sampling pattern design algorithm for atomic force microscopy images.

Yufan Luo1, Sean B Andersson2

  • 1Division of Systems Engineering, Boston University, Boston, MA 02215, United States.

Ultramicroscopy
|November 10, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for atomic force microscopy (AFM) that designs continuous, non-raster scanning patterns. This method significantly improves imaging speed while maintaining high image quality, outperforming traditional raster scans.

Keywords:
Atomic force microscopyCompressive sensingImage reconstructionSampling pattern designUndersampling

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Area of Science:

  • Atomic Force Microscopy (AFM)
  • Image Acquisition and Reconstruction
  • Scanning Probe Microscopy

Background:

  • Undersampling in AFM enhances imaging rates but poses challenges in maintaining image quality.
  • Optimizing data acquisition points is crucial for accurate surface reconstructions.
  • Existing undersampling methods often compromise image fidelity for speed.

Purpose of the Study:

  • To develop an algorithm for designing continuous non-raster scanning patterns for AFM.
  • To minimize reconstruction error and total scan length in undersampled AFM imaging.
  • To improve the trade-off between imaging speed and image quality in AFM.

Main Methods:

  • A two-stage algorithm was developed to design continuous non-raster scanning patterns.
  • The first stage designs disconnected scan paths based on known image frequency structures.
  • The second stage connects these paths using mixed integer linear programming (MILP) to minimize scan length.

Main Results:

  • The proposed method achieved 10-15% pixel sampling, reducing imaging time to 15-20% of full raster scans.
  • Reconstruction quality was significantly better than spiral and Lissajous scan patterns at equivalent sampling rates.
  • Imaging a calibration grating showed higher quality compared to fast raster scans, with only 18% pixel sampling.

Conclusions:

  • The developed algorithm effectively designs continuous non-raster scanning patterns for undersampled AFM.
  • This approach offers superior image reconstruction quality and efficiency compared to existing methods.
  • The method enables faster AFM imaging without sacrificing critical details of the sample surface.