Open Access

ARTICLE

Detecting cellular morphological changes through light scattering patterns: comparison of methods

Marina S. Moran¹, Xin-Hua Hu¹, Jun Q. Lu^{1, *}

1 Department of Physics, East Carolina University, Greenville, NC 27858, USA

*Corresponding Author: Jun Q. Lu. Email: .

Journal of Advanced Optics and Photonics 2018, 1(1), 23-34. https://doi.org/10.32604/jaop.2018.001.023

Issue published 22 April 2021

Abstract

Several methods, including the azimuthally-averaged angular distribution of the scattered light intensity, two bi-parameter scatter plots and three image texture analysis algorithms of the Haralick features, Laws energy measures, and Gabor filters, are compared for their effectiveness in correlating changes in light scattering patterns from biological cells to variations in their morphological features. A series of analytic cell models with variations in main cell structure and mitochondrial characteristics are created to imitate biological cells of different structural attributes. Numerical simulations of light scattering are performed using the discrete dipole approximation (DDA). Our results show that Gabor filter analysis combined with the biparameter scatter plots can provide significant insight into cellular morphology.

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