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<item>
  <id>05988933</id>
  <dt>j</dt>
  <an>05988933</an>
  <augroup>
    <au>Nekouzadeh, Ali</au>
    <au>Genin, Guy M.</au>
  </augroup>
  <ti>Quantification of fibre polymerization through Fourier space image analysis.</ti>
  <so>Proc. R. Soc. Lond., Ser. A, Math. Phys. Eng. Sci. 467, No. 2132, 2310-2329 (2011).</so>
  <py>2011</py>
  <pu>The Royal Society, London</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>fibre length measurement</ut>
    <ut>cellular mechanics</ut>
    <ut>automated image processing</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1098/rspa.2010.0623</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Quantification of changes in the total length of randomly oriented and possibly curved lines appearing in an image is a necessity in a wide variety of biological applications. Here, we present an automated approach based upon Fourier space analysis. Scaled, band-pass filtered power spectral densities of greyscale images are integrated to provide a quantitative measurement of the total length of lines of a particular range of thicknesses appearing in an image. A procedure is presented to correct for changes in image intensity. The method is most accurate for two-dimensional processes with fibres that do not occlude one another.</ab>
    <rv></rv>
  </abgroup>
</item>