Abstract
Fluorescence loss in photobleaching (FLIP) is a modern microscopy method for visualization of transport processes in living cells. This paper presents the simulation of FLIP sequences based on a calibrated reaction–diffusion system defined on segmented cell images. By the use of a discontinuous Galerkin method, the computational complexity is drastically reduced compared to continuous Galerkin methods. Using this approach on green fluorescent protein (GFP), we can determine its intracellular diffusion constant, the strength of localized hindrance to diffusion as well as the permeability of the nuclear membrane for GFP passage, directly from the FLIP image series. Thus, we present for the first time, to our knowledge, a quantitative computational FLIP method for inferring several molecular transport parameters in parallel from FLIP image data acquired at commercial microscope systems.
Highlights
In19 we presented a reaction–diffusion compartment model for intracellular transport observed in Fluorescence loss in photobleaching (FLIP) images, which can describe both diffusion, nucleo-cytoplasmic transport, and local binding mechanistically
The spatial resolution of the membrane is avoided by a discontinuous Galerkin (DG) method working on essentially smaller meshes
The stretched/compressed exponential (StrExp) function is widely used for modeling physico-chemical processes and is used here to provide an independent assessment of the quality of our FLIP model
Summary
In19 we presented a reaction–diffusion compartment model for intracellular transport observed in FLIP images, which can describe both diffusion, nucleo-cytoplasmic transport, and local binding mechanistically. The algorithm is applied to localize boundaries of the cell, nucleus and bleaching area in our FLIP images.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
