Retrieving the size of particles with rough and complex surfaces from two-dimensional scattering patterns

Zbigniew Ulanowski, Edwin Hirst, Paul H. Kaye, Richard Greenaway

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)
272 Downloads (Pure)

Abstract

Scattered intensity measurement is a commonly used method for determining the size of small particles. However, it requires calibration and is subject to errors due to changes in incident irradiance or detector sensitivity. Analysis of two-dimensional scattering patterns offers an alternative approach. We test morphological image processing operations on patterns from a diverse range of particles with rough surfaces and/or complex structure, including mineral dust, spores, pollen, ice analogs and sphere clusters from 4 to 88 μm in size. It is found that the median surface area of intensity peaks is the most robust measure, and it is inversely proportional to particle size. The trend holds well for most particle types, as long as substantial roughness or complexity is present. One important application of this technique is the sizing of atmospheric particles, such as ice crystals.
Original languageEnglish
Pages (from-to)2457-2464
Number of pages8
JournalJournal of Quantitative Spectroscopy and Radiative Transfer
Volume113
Issue number18
Early online date27 Jun 2012
DOIs
Publication statusPublished - Dec 2012

Keywords

  • rough
  • Light scattering
  • speckle
  • particle size
  • ice

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