Abstract
A parallel Finite-Difference-Time-Domain (FDTD) code has been developed to numerically model the elastic light scattering by biological cells. Extensive validation and evaluation on various computing clusters demonstrated the high performance of the parallel code and its significant potential of reducing the computational cost of the FDTD method with low cost computer clusters. The parallel FDTD code has been used to study the problem of light scattering by a human red blood cell (RBC) of a deformed shape in terms of the angular distributions of the Mueller matrix elements. The dependence of the Mueller matrix elements on the shape and orientation of the deformed RBC has been investigated. Analysis of these data provides valuable insight on determination of the RBC shapes using the method of elastic light scattering measurements.
Highlights
Elastic light scattering by biological cells can yield rich information on the cell morphology and function if the distribution of scattered light can be related to the intracellular distribution of the dielectric coefficient or the refractive index
In a recent study of light scattering from a red blood cell (RBC) of biconcave shape using finite-difference time-domain (FDTD) method [8], we observed that the CPU time and required memory increased approximately with a power of 3.0 and 2.4 of the linear grid size, respectively
To improve the efficiency of the FDTD method in modeling cell scattering and to take advantage of high-power low-cost computing clusters, we developed a parallel FDTD code that is portable to any parallel computing platform with a distributed architecture
Summary
Elastic light scattering by biological cells can yield rich information on the cell morphology and function if the distribution of scattered light can be related to the intracellular distribution of the dielectric coefficient or the refractive index. The FDTD method is well suited for a parallel computing implementation where the demands for computational resources are distributed among the processors in a parallel network Such techniques have been used widely on FDTD modeling of antennas, microwave circuits, and scattering processes [9,10,11,12,13,14,15]. To improve the efficiency of the FDTD method in modeling cell scattering and to take advantage of high-power low-cost computing clusters, we developed a parallel FDTD code that is portable to any parallel computing platform with a distributed architecture. In terms of the Mueller matrix elements, of the dependence of light scattering on the shape and orientation of the deformed RBCs are presented
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