Paper
19 June 2003 Fourier and fractal analysis of cytoskeletal morphology altered by xenobiotics
Giovanni F. Crosta, Chiara Urani, Laura Fumarola
Author Affiliations +
Abstract
The cytoskeletal microtubules (MTs) of rat hepatocytes treated by Benomyl (a fungicide) were imaged by means of immunofluorescent staining and optical microscopy. Images of untreated, or control (C), and of treated (T) cells were processed both by fractal and Fourier analysis. The C-MTs had contour fractal dimensions higher (≥ 1.4) than those of T-MTs (≤1.3). Fourier analysis included computation of the anisotropy of power spectral density, angle averaging and "spectrum enhancement," which corresponds to the application of a (pseudo)differential operator to the image. Enhanced spectra were interpolated by a polynomial, q, of degree 39, from which morphological descriptors were extracted. Descriptors from Fourier analysis made image classification possible. Principal components analysis was applied to the descriptors. In the plane of the first two components, {z1,z2}, the minimum spanning tree was drawn. Images of T-MTs formed a single cluster, whereas images of C-MTs formed two clusters, C1 and C2. The component z1 correlated positively with the local maxima and minima of q, which reflected differences between T and C in power spectral density in the 1 to 2000 cycles/mm spatial frequency band. The difference between C1 and C2 was ascribed to anisotropy of the MT bundles. The implemented image classifier is capable of telling differences in cytoskeletal organization. As a consequence the method can become a tool for testing cytotoxicity and for extracting quantitative information about intracellular alterations of various origin.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giovanni F. Crosta, Chiara Urani, and Laura Fumarola "Fourier and fractal analysis of cytoskeletal morphology altered by xenobiotics", Proc. SPIE 4962, Manipulation and Analysis of Biomolecules, Cells, and Tissues, (19 June 2003); https://doi.org/10.1117/12.477895
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Cited by 3 scholarly publications.
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KEYWORDS
Fractal analysis

Image classification

Chlorine

Feature extraction

Image analysis

Principal component analysis

Spatial frequencies

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