TY - JOUR
T1 - Computational Modeling of Fluorescence Loss in Photobleaching
AU - Hansen, Christian Valdemar
AU - Schroll, Achim
AU - Wüstner, Daniel
PY - 2015/8
Y1 - 2015/8
N2 - Fluorescence loss in photobleaching (FLIP) is a modern microscopy method for visualization of transport processes in living cells. Although FLIP is widespread, an automated reliable analysis of image data is still lacking. This paper presents a framework for modeling and simulation of FLIP sequences as reaction– diffusion systems on segmented cell images. The cell geometry is extracted from microscopy images using the Chan–Vese active contours algorithm [8]. The PDE model is subsequently solved by the automated Finite Element software package FEniCS [20]. The flexibility of FEniCS allows for spatially resolved reaction diffu- sion coefficients in two (or more) spatial dimensions.
AB - Fluorescence loss in photobleaching (FLIP) is a modern microscopy method for visualization of transport processes in living cells. Although FLIP is widespread, an automated reliable analysis of image data is still lacking. This paper presents a framework for modeling and simulation of FLIP sequences as reaction– diffusion systems on segmented cell images. The cell geometry is extracted from microscopy images using the Chan–Vese active contours algorithm [8]. The PDE model is subsequently solved by the automated Finite Element software package FEniCS [20]. The flexibility of FEniCS allows for spatially resolved reaction diffu- sion coefficients in two (or more) spatial dimensions.
U2 - 10.1007/s00791-015-0259-6
DO - 10.1007/s00791-015-0259-6
M3 - Journal article
SN - 1432-9360
VL - 17
SP - 151
EP - 166
JO - Computing and Visualization in Science
JF - Computing and Visualization in Science
IS - 4
ER -