Real lab failures, root causes, and fixes — curated and bilingually annotated by our team.
The measured ratio of positive to negative cells for a given marker appears inaccurate or inconsistent. Background signals are not correctly measured, leading to improper gating and incorrect population quantification.
Antibody binds non-specifically to cells of interest, resulting in noisy data and elevated background. True marker expression cannot be distinguished from non-specific binding events.
Isotype control fails to accurately represent the non-specific binding background of the test antibody. Background levels measured by isotype control differ significantly from actual test antibody background.
Data quality is inconsistent between runs or gradually deteriorates over time. Instrument performance metrics fall outside acceptable ranges, affecting sensitivity and accuracy of all measurements.
One fluorochrome's emission spectra spills over into another detector channel, creating false positive signals. Data appears contaminated with signals that do not represent true marker expression.
Even after compensation, background spread from spillover effects makes it difficult to determine appropriate gate boundaries. Positive and negative populations are not clearly separated in the detector of interest.
Control used does not address the main source of background in the experiment, leading to incorrect gating and data interpretation. Results are inconsistent or unreliable despite using controls.
Biological control (e.g., unstimulated sample in stimulation assay) shows unexpectedly high background, making it difficult to set clear positive/negative boundaries.
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