Improving FRAP data analysis (Completed project)
To provide a free, open-source tool for high-throughput analysis of FRAP experiments by modern techniques to the public.
Research scientist: Jonas Gernandt, PhD
Principal investigator: Professor Per Hansson, Department of Medicinal Chemistry, Uppsala University
Scientific and industrial context. Fluorescence recovery after photobleaching (FRAP) is a well-established method for measuring self-diffusion in a complex environment. Despite the popularity of the technique, fast and user-friendly software employing the latest developments in FRAP data analysis methodology is not publicly available.
Aim. The project aims to make the latest and most powerful FRAP data analysis methods readily accessible to scientists at little or no cost in workload.
Outcome. Upon completion of the project, a free, open-source tool for high-throughput analysis of FRAP experiments by modern techniques will be made available to the public.