![]() Why does analyzing flow cytometry data need to be this complex? …and further analyzing your data, and further analyzing your data, and further analyzing your data… The Complexity Of Most Data Analysis Software Packages However, the biggest problem overall with the majority of the data analysis software programs available is their outdated workflow.įor example, most of these programs require you to follow this sequence: load your data into the software program, perform your gating and analysis in the software program, and then spend an immense amount of time exporting your data to PowerPoint, Excel, Prism, and so on, and then further analyzing your data. Worse, they often require a great deal of training to use correctly. The package or packages that were useful in the 1990s have not been updated properly and, as a result, are buggy. The problem is, most of the current data analysis programs are archaic, clunky, or overly complex. To do this properly in the field of flow cytometry, a quality data analysis software program is required. ![]() After running a flow cytometry experiment and collecting the data, the first and only thing any scientist wants to do is analyze the data.
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