Good science is all about confirming or busting hypotheses; examining assumptions under different circumstances. In a flow context, hypotheses driven analysis typically translates into establishing sequential gating. When done manually, this is a very time consuming approach that is intrinsically prone to add a lot of variability into the analysis. With the new automatic gating algorithm on the Cytobank platform, flow data can now be analyzed faster and more objectively by harnessing the power of machine learning-assisted analysis. Join us to hear more about how this algorithm developed by Beckman Coulter can make a difference in your data analysis workflow. But wait, Cytobank can do so much more… come and find out.