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Evaluating Scanning Electron Microscopy For the Measurement of Small-scale Topography.

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Surface Topography: Metrology and Properties, 2025, v. 12, no. 3: Evaluating Scanning Electron Microscopy For the Measurement of Small-scale Topography.
  • Journal Article:
    Surface Topography: Metrology and Properties
  • Personal Author:
  • Description:
    For predicting surface performance, multiscale topography analysis consistently outperforms standard roughness metrics; however, surface-characterization tools limit the range of sizes that can be measured. Therefore, we evaluate the use of scanning electron microscopy (SEM) to systematically measure small-scale topography. While others have employed SEM for similar purposes, the novelty of this investigation lies in the development and validation of a simple, flexible procedure that can be applied to a wide range of materials and geometries. First, we established four different options that can be used for sample preparation, and we measured quantitative topography of each using the SEM. Then the power spectral density (PSD) was used to compare topography among the four preparations, and against other techniques. A statistical comparison of PSDs demonstrated that SEM topography measurements outperformed AFM measurements at scales below 100 nm and were statistically indistinguishable from (highly labor-intensive) TEM measurements down to 16 nm. The limitations of SEM-based topography were quantified and discussed. Overall, the results show a simple generalizable method for revealing small-scale topography. When combined with traditional stylus profilometry, this technique characterizes surface topography across almost seven orders of magnitude, from 1 cm down to 16 nm, facilitating the use of physical models to predict performance.
  • Content Notes:
    Author manuscript
  • Subjects:
  • Source:
    Surface Topography: Metrology and Properties, 2025, v. 12, no. 3
  • DOI:
  • ISSN:
    2051-672X
  • Pubmed ID:
    39896093
  • Pubmed Central ID:
    PMC11783955
  • Document Type:
  • Funding:
  • Genre:
  • Pages in Document:
    23 pdf pages
  • Volume:
    12
  • Issue:
    3
  • Download URL:
  • File Type:
    Filetype[PDF - 1.26 MB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:011d0811483f323e1edec97bff6826d1c682b7785431bd677a64a57e05719f5cd26e602b31a7ca88004651726db918600e5ac797dca4b4ea6ed9efc6bd4e1e9d
File Language:
English
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