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Compensation in flow cytometry is a critical step to ensure accurate interpretation of data. It is also one of the areas that’s steeped in mystery, myths and misinformation. Manually adjusting the compensation values based on how the populations look, or so-called ‘Cowboy Compensation’, is not the correct way to determine proper compensation. The best practices for compensation involve following some very specific rules. Here are 4 steps to correctly compensating 4+ color flow cytometry experiments.

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When training new users on data analysis, there are several different best practices and gating strategies you should incorporate into your analysis. There are also several misconceptions you must understand. There are 3 gates that many researchers are not using but should be using when analyzing their flow cytometry data. These gates are critical for good data analysis. They will help remove many confounding events that may be clouding your analysis, especially where rare events are concerned.

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