title: Quantification of fibre polymerization through Fourier space image analysis.
abstract: 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.
authors: Department of Biomedical Engineering , Washington University in Saint Louis , Saint Louis, MO, USA.
authors: Ali
authors: A
authors: Nekouzadeh
authors: Department of Mechanical, Aerospace and Structural Engineering , Washington University in Saint Louis , Saint Louis, MO, USA ; Center for Materials Innovation , Washington University in Saint Louis , Saint Louis, MO, USA.
authors: Guy M
authors: GM
authors: Genin
keywords: automated image processing; cellular mechanics; fibre length measurement