Biomedical researchers use flow cytometry and fluorescence-activated cell sorting (FACS) to count, characterize, and segregate live cells in fluid mixtures. For example, FACS helps oncology researchers measure the effect of antibodies and other treatments on cancer cells. Analyzing the data produced by flow cytometers, especially in core labs, clinical research institutes, and other high-volume environments, can be a time-consuming and tedious task that saps researchers’ productivity.
At MedImmune, one of the AstraZeneca group of companies, researchers use FAST FACS software to automate the analysis of flow cytometry data. Developed entirely in MATLAB® in just three weeks, FAST FACS software performs statistical analysis of flow cytometry data and produces easy-to-understand tables and plots that researchers insert directly into their electronic lab notebooks (ELNs).
“The MATLAB based FAST FACS software has revolutionized analysis at MedImmune by eliminating a significant research bottleneck,” says Dr. Jens Koopmann, principal bioinformatics scientist at MedImmune. “Analysis that previously took weeks to perform manually is now completed automatically in minutes. In its first six months of operation, the software has saved our researchers the equivalent of 10 years of work.”