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2 February 2012 Correlating the light scattering pattern of a biological cell to its mitochondrial properties using a Gabor filter technique
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Traditional light scattering analysis of cells relies mostly on the one-dimensional distribution of the light scattering intensity, where only the cell size and some limited information regarding the internal structure can be obtained. More recent studies have attempted to analyze the two-dimensional diffraction images of cells using standard texture analysis techniques to extract additional intracellular information. We recently compared the effectiveness of several major methods that are often used in image texture analysis and found that the Gabor filter approach is more effective than most methods and is capable of providing information regarding the major structural features and mitochondrial properties of the cell. In this report we further our investigation by utilizing a Gabor filter technique to analyze light scattering patterns of cells and to correlate their changes to that of the mitochondrial properties of the cells. Numerical simulations of light scattering are performed using the discrete dipole approximation on analytically generated biological cell models with various mitochondrial characteristics. A set of two-dimensional scattering images is produced corresponding to systematic variations in the size, shape, and distribution of mitochondria and is processed with a bank of Gabor filters. Selected mean values of the Gabor-filtered images are displayed in scatter plots, providing a novel approach to grouping the cell models according to mitochondria size, shape, and distribution.
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Marina Moran, Xin-Hua Hu, and Jun Q. Lu "Correlating the light scattering pattern of a biological cell to its mitochondrial properties using a Gabor filter technique", Proc. SPIE 8230, Biomedical Applications of Light Scattering VI, 82300P (2 February 2012);

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