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A Simplified Implementation of Edge Detection in MATLAB is Faster and More Sensitive than Fast Fourier Transform for Actin Fiber Alignment Quantification

Published online by Cambridge University Press:  09 March 2011

Steven Frank Kemeny  and
Alisa Morss Clyne
Steven Frank Kemeny
Affiliation:
Drexel University, Mechanical Engineering and Mechanics, Bossone Research Center, Philadelphia, PA 19104, USA
Alisa Morss Clyne*
Affiliation:
Drexel University, Mechanical Engineering and Mechanics, Alumni Labs, Philadelphia, PA 19104,USA
*
Corresponding author. E-mail: [email protected]
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Abstract

Fiber alignment plays a critical role in the structure and function of cells and tissues. While fiber alignment quantification is important to experimental analysis and several different methods for quantifying fiber alignment exist, many studies focus on qualitative rather than quantitative analysis perhaps due to the complexity of current fiber alignment methods. Speed and sensitivity were compared in edge detection and fast Fourier transform (FFT) for measuring actin fiber alignment in cells exposed to shear stress. While edge detection using matrix multiplication was consistently more sensitive than FFT, image processing time was significantly longer. However, when MATLAB functions were used to implement edge detection, MATLAB's efficient element-by-element calculations and fast filtering techniques reduced computation cost 100 times compared to the matrix multiplication edge detection method. The new computation time was comparable to the FFT method, and MATLAB edge detection produced well-distributed fiber angle distributions that statistically distinguished aligned and unaligned fibers in half as many sample images. When the FFT sensitivity was improved by dividing images into smaller subsections, processing time grew larger than the time required for MATLAB edge detection. Implementation of edge detection in MATLAB is simpler, faster, and more sensitive than FFT for fiber alignment quantification.

Keywords

endotheliumshear stressimage processingedge detectionMATLABactin fibers
Type
Biological Applications
Information
Microscopy and Microanalysis , Volume 17 , Issue 2 , April 2011 , pp. 156 - 166
Copyright
Copyright © Microscopy Society of America 2011

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