
AbstractWe introduce Frapbot, a free‐of‐charge open source software web application written in R, which provides manual and automated analyses of fluorescence recovery after photobleaching (FRAP) datasets. For automated operation, starting from data tables containing columns of time‐dependent intensity values for various regions of interests within the images, a pattern recognition algorithm recognizes the relevant columns and identifies the presence or absence of prebleach values and the time point of photobleaching. Raw data, residuals, normalization, and boxplots indicating the distribution of half times of recovery (t1/2) of all uploaded files are visualized instantly in a batch‐wise manner using a variety of user‐definable fitting options. The fitted results are provided as .zip file, which contains .csv formatted output tables. Alternatively, the user can manually control any of the options described earlier. © 2017 International Society for Advancement of Cytometry
Photobleaching, Radboudumc 2: Cancer development and immune defence RIMLS: Radboud Institute for Molecular Life Sciences, Radboudumc 19: Nanomedicine RIMLS: Radboud Institute for Molecular Life Sciences, Radboudumc 6: Metabolic Disorders RIMLS: Radboud Institute for Molecular Life Sciences, Biochemistry - Radboud University Medical Center, Cell Biology - Radboud University Medical Center, Algorithms, Software, Fluorescence Recovery After Photobleaching
Photobleaching, Radboudumc 2: Cancer development and immune defence RIMLS: Radboud Institute for Molecular Life Sciences, Radboudumc 19: Nanomedicine RIMLS: Radboud Institute for Molecular Life Sciences, Radboudumc 6: Metabolic Disorders RIMLS: Radboud Institute for Molecular Life Sciences, Biochemistry - Radboud University Medical Center, Cell Biology - Radboud University Medical Center, Algorithms, Software, Fluorescence Recovery After Photobleaching
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