Modeling of first-order photobleaching kinetics using Krylov subspace spectral methods

被引:1
|
作者
Sheikholeslami, Somayyeh [1 ]
Lambers, James V. [2 ]
机构
[1] Univ Southern Mississippi, Dept Phys & Astron, Hattiesburg, MS 39406 USA
[2] Univ Southern Mississippi, Dept Math, Hattiesburg, MS 39406 USA
关键词
Lanczos algorithm; Spectral methods; Gaussian quadrature; FRAP; Photobleaching kinetics equation; LASER-SCANNING MICROSCOPES; FLUORESCENCE RECOVERY; FRAP;
D O I
10.1016/j.camwa.2017.10.019
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We solve the first order 2-D reaction-diffusion equations which describe binding-diffusion kinetics using the photobleaching scanning profile of a confocal laser scanning microscope, approximated by a Gaussian laser profile. We show how to solve the first-order photobleaching kinetics partial differential equations (PDEs) using a time-stepping method known as a Krylov subspace spectral (KSS) method. KSS methods are explicit methods for solving time-dependent variable-coefficient partial differential equations. They approximate Fourier coefficients of the solution using Gaussian quadrature rules in the spectral domain. In this paper, we show how a KSS method can be used to obtain not only an approximate numerical solution, but also an approximate analytical solution when using initial conditions that come from pre-bleach steady states and also general initial conditions, to facilitate asymptotic analysis. Analytical and numerical results are presented. It is observed that although KSS methods are explicit, it is possible to use a time step that is far greater than what the CFL condition would indicate. (C) 2017 Elsevier Ltd. All rights reserved.
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页码:2153 / 2172
页数:20
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