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Every experiment has the goal of ensuring consistent and reproducible data. This makes the proper use of controls to establish the boundaries of gates critical. With the exception of one controversial control discussed in this article, each one of these gating controls plays an important and specific role toward the goal of reproducibility. Using these gating controls in every experiment will reduce data variability within the experiment, as well as between labs and institutions.

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Flow cytometry (FCM) datasets that are currently being generated will be two orders of magnitude larger than any that exist today. Reproducibility continues to be a critical area that all researchers need to be aware of and researchers need to keep up on best practices to stay relevant. One area that flow cytometry researchers should be focusing on is the emerging changes in the area of automated data analysis. This brief article explains why.

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