Expanding the scope of quantitative FRAP analysis.
In this study, new mathematical models were developed for analysis of fluorescence recovery after photobleaching (FRAP) data to account for features not represented in previous analysis: conical photobleaching geometry, spatial variations in binding of fluorescent molecules, and directed transport of fluorescent molecules. To facilitate computations in conical geometry, a fast computational method for calculation of fluorescence recovery is presented. Two approximations are presented to aid in FRAP analysis when binding varies spatially, one applying to cases of relatively fast diffusion and slow binding and the other to binding of molecules to small cellular structures. Numerical results show that using a model that represents the influential physical processes and that is formulated in the appropriate geometry can substantially improve the accuracy of FRAP calculations.
Hallen
Mark A
MA
Duke University, Department of Mathematics, Durham, NC 27708, USA. mah43@duke.edu
Layton
Anita T
AT
D001692:Biological Transport; D003198:Computer Simulation; D004058:Diffusion; D036681:Fluorescence Recovery After Photobleaching / Q000379:methods*; D008954:Models, Biological