The data files contain sampled parameter sets together with the quality of fit of the numerically computed FRAP recovery for each parameter set compared to the experimental data, captured by the R^2 v
In this guide it is explained how to use the custom written Matlab code for analysis of FRAP recovery images and to obtain the diffusion coefficient or size distributions. The user’s guide includes th
Dataset and code used in V Wåhlstrand-Skärström, et al, "DeepFRAP: Fast fluorescence recovery after photobleaching data analysis using deep neural networks", published in Journal of Microscopy. In thi
This dataset contains the raw microscopy files and MATLAB-exported result files used by the original FRAP-Toolbox user guide and by the modern Python port's parity tests. The archive is intended to b
