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Scanning Electron Microscopy01:07

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A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
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Local dynamic range compensation for scanning electron microscope imaging system.

K S Sim1, Y H Huang1

  • 1Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia.

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|May 14, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces modified dynamic range histogram modification (MDRHM) to enhance Scanning Electron Microscope (SEM) imaging. The new method improves image compensation by extending dynamic range while preserving histogram shape, outperforming conventional techniques.

Keywords:
SEM imagescontrast enhancementlocal dynamic range enhancement

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Area of Science:

  • Microscopy
  • Image Processing
  • Materials Science

Background:

  • Scanning Electron Microscope (SEM) imaging is crucial for materials analysis.
  • Conventional histogram modification techniques have limitations in image enhancement.
  • Dynamic range limitations can affect SEM image quality.

Purpose of the Study:

  • To introduce and evaluate a novel image enhancement technique for SEM systems.
  • To improve image compensation by extending the dynamic range of image tiles.
  • To compare the proposed method with existing histogram modification compensators.

Main Methods:

  • Development of Modified Dynamic Range Histogram Modification (MDRHM).
  • Application of histogram profiling to extend image tile dynamic range to 0-255.
  • Preservation of original histogram shape during dynamic range extension.
  • Comparative analysis against conventional histogram modification methods.

Main Results:

  • MDRHM successfully extends the dynamic range of SEM image tiles.
  • The technique preserves the histogram shape of individual image tiles.
  • Enhanced image compensation is achieved compared to conventional methods.
  • Improved overall image quality in SEM.

Conclusions:

  • MDRHM is an effective technique for enhancing SEM imaging systems.
  • The method offers superior image compensation by optimizing dynamic range and histogram characteristics.
  • This approach provides a valuable tool for improving the quality of SEM-generated images.