PyFDAP: automated analysis of fluorescence decay after photoconversion (FDAP) experiments.
We developed the graphical user interface PyFDAP for the fitting of linear and non-linear decay functions to data from fluorescence decay after photoconversion (FDAP) experiments. PyFDAP structures and analyses large FDAP datasets and features multiple fitting and plotting options.


METHODS
PyFDAP was written in Python and runs on Ubuntu Linux, Mac OS X and Microsoft Windows operating systems. The software, a user guide and a test FDAP dataset are freely available for download from http://people.tuebingen.mpg.de/mueller-lab.
Systems Biology of Development Group, Friedrich Miescher Laboratory of the Max Planck Society, 72076 Tübingen, Germany.
Alexander
A
Bläßle
Systems Biology of Development Group, Friedrich Miescher Laboratory of the Max Planck Society, 72076 Tübingen, Germany.
Patrick
P
Müller
D000465:Algorithms; D001331:Automation; D003196:Computer Graphics; D005453:Fluorescence; D055668:Photochemical Processes; D012984:Software