Flow cytometry data can be visualized in many ways, including dot plots and histograms. However, extracting meaningful information from these complex datasets requires careful analytical approaches, most notably via gating.
Without a clear gating strategy, this can result in the following:
- Missing highly important rare populations
- False positives
- Technical artifacts, such as cellular debris and dead cells not being excluded, affecting data quality
- Irreproducible results
Different research questions require tailored gating approaches, and this quick guide is designed to provide a systematic approach to building and applying effective gating strategies during panel design for reliable, reproducible results.
Download the 'How to Implement an Effective Flow Cytometry Gating Strategy' Quick Guide
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