Reproducibility in Flow Cytometry Data

Flow cytometry truly is a remarkably reliable source of scientific data. Thanks to this powerful research technique, you can capture subtle and previously unexplored cellular changes—whether in phenotype, function, metabolic profile, or gene expression—that may be masked when using other analysis methods.

However, one of the biggest challenges in flow cytometry is the ability to generate reproducible data. Quite often, it’s due to workflow inconsistencies, reagent integrity and inconsistencies in acquisition protocols.

To help, here’s a collection of resources that you can use to make rigorous data analysis and reproducibility a reality.