We have introduced FlowLogic as the software of choice in our Flow Cytometry Core here at the Geisel School of Medicine at Dartmouth.
As Core Director I find FlowLogic to be a very helpful tool for verifying a compensation matrix. The presentation of plots with a horizontal line through positive and negative populations depicting equivalence of median fluorescence intensity is very useful, both conceptually and practically.
FlowLogic is able to scale .fcs files acquired using cytometers from different manufacturers, including Gallios, MACSQuant, and FACSAria instruments.
The software uses a Java platform with fast processing speeds of multiple-gated files, and real-time updating. Built-in data array, heat map, statistics and graphing precludes the need for additional software. Technical support is excellent. Use of the SLM and a site license allows us to provide the software to all our Users.
Flowlogic plays a critical part in my research. I can confidentaly describe it as the smartest flow analysis tool available. Fast, extremely efficient and user-friendly, this software offeres a 3 in 1 platform which allows end users to perform analyses statistics and report writing all the same time. The software is the ultimate analysis software for flow cytometry at the price of an antibody. FlowLogic provides great flexibility in choosing parameters, advanced functions and formats leading to remarkable graphics for publication quality figures. This robust yet affordable analyses tool meets all users' requirements through flexible virtual licencing and outstanding technical and customer support. I highly reccomend Flowlogic for both long and short-term flow cytometry research projects.Wafa Khamri Ph.D.
Flowlogic has been central to my PhD project, enabling me to assess the contribution of myeloid cells to tissue destruction and repair following acute kidney injury.
Group analysis involving very large FCS files combined with real-time population updates and the ability to colour populations throughout all levels of a gating hierarchy has allowed me to identify subtle differences in specific cell populations following various treatments. The integrated statistics and reporting features enabled me to graph and display my results in only a few clicks.