Quantification of fibre polymerization through Fourier space image analysis

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 densitie...

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Veröffentlicht in:Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences Mathematical, physical, and engineering sciences, 2011-08, Vol.467 (2132), p.2310-2329
Hauptverfasser: Nekouzadeh, Ali, Genin, Guy M.
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Genin, Guy M.
description 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.
doi_str_mv 10.1098/rspa.2010.0623
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source Jstor Complete Legacy; Alma/SFX Local Collection; JSTOR Mathematics & Statistics
subjects Aspect ratio
Automated Image Processing
Background noise
Cellular Mechanics
Fables
Fiber orientation
Fibre Length Measurement
Fourier transformations
Image filters
Images of transformations
Pixels
Quantification
Stress fibers
title Quantification of fibre polymerization through Fourier space image analysis
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