Improved Fourier-based characterization of intracellular fractal features

A novel Fourier-based image analysis method for measuring fractal features is presented which can significantly reduce artifacts due to non-fractal edge effects. The technique is broadly applicable to the quantitative characterization of internal morphology (texture) of image features with well-defi...

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Bibliographic Details
Published inOptics express Vol. 20; no. 21; pp. 23442 - 23455
Main Authors Xylas, Joanna, Quinn, Kyle P, Hunter, Martin, Georgakoudi, Irene
Format Journal Article
LanguageEnglish
Published United States Optical Society of America 08.10.2012
Subjects
Algorithms
Cells, Cultured
Fourier Analysis
Fractals
Humans
Image Interpretation, Computer-Assisted - methods
Microscopy, Fluorescence, Multiphoton - methods
Mitochondria - ultrastructure
Pattern Recognition, Automated - methods
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Summary:A novel Fourier-based image analysis method for measuring fractal features is presented which can significantly reduce artifacts due to non-fractal edge effects. The technique is broadly applicable to the quantitative characterization of internal morphology (texture) of image features with well-defined borders. In this study, we explore the capacity of this method for quantitative assessment of intracellular fractal morphology of mitochondrial networks in images of normal and diseased (precancerous) epithelial tissues. Using a combination of simulated fractal images and endogenous two-photon excited fluorescence (TPEF) microscopy, our method is shown to more accurately characterize the exponent of the high-frequency power spectral density (PSD) of these images in the presence of artifacts that arise due to cellular and nuclear borders.
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ISSN:1094-4087
1094-4087
DOI:10.1364/OE.20.023442