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 |
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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. |
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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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