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4 Steps To Implementing a QC Program For Your Flow Cytometry Experiments

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Quality control is the hallmark of improving reproducibility. QC programs are designed to help determine when the process in question goes off the expected path. Depending on the deviation from the established acceptance criteria will dictate the level of intervention that needs to occur. This can be as easy as cleaning the instrument and rerunning the QC, or as extreme as removing the data from the final analysis. Since there is documentation as to the deviations, this provides the rationale for excluding data.

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5 FlowJo Hacks To Boost The Quality Of Your Flow Cytometry Analysis

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FlowJo is a powerful tool for performing and analyzing flow cytometry experiments, if you know how to use it to the fullest. This includes understanding embedding and using keywords, the FlowJo compensation wizard, spillover spreading matrix, FlowJo and R, and creating tables in FlowJo. Extending your use of FJ using these hacks will help organize your data, improve analysis and make your exported data easier to understand and explain to others. Take a few moments and explore all you can do with FJ beyond just gating populations.

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5 Steps To Improve Your Flow Cytometry Data Analysis

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To get the best flow cytometry data you need to be thinking about all the steps in your experiment to ensure that you have high-quality data to analyze. To improve the quality of your analysis make sure you’re adding keywords at the beginning of your experimental setup, develop a quality control program, trust but verify any software wizards, use proper controls, and make sure you extract the correct data.

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The Right Way To Read A Flow Cytometry Scientific Paper

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Reproducibility is a state of mind. It’s not one simple thing that you do that will make all your data more reproducible, it a shift in the way one thinks about and perform experiments. With the emphasis on rigor and reproducibility in science, it’s very important that researchers start putting into place everything they can do to help improve the quality and reproducibility of there data. Learn 3 action steps that can be taken to enhance experimental reproducibility.

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Avoid Data Loss By Following These Steps To Set Your Flow Cytometry Gates Correctly

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The way you set your gates in flow cytometry is a key part of your experiment. You need to know that you can find the populations that you’re interested in so you can extract the appropriate data. This is how you can do your secondary or statistical analysis confidently. Learn what gates you should be using and how to define them properly.

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