Workflows
Automated Quality Control
Gradiance automatically assesses the quality of every fit to prevent misleading results. We categorize fits into three tiers based on statistical metrics.
Tier 1: Excellent Fit
R² > 0.98 and tight confidence intervals. Results are highly reliable and ready for publication.
Tier 2: Good Fit (Caution)
R² between 0.90 and 0.98. The model describes the data well, but there may be some variability. Check for pipetting errors or consider repeating the experiment if high precision is required.
Tier 3: Poor Fit
R² < 0.90 or ambiguous parameters (e.g., infinite confidence intervals). The results should likely be discarded. Check your plate map and controls.
Common QC Flags
- Hill Slope > 5.0:Suggests an artificially steep curve, often due to lack of data points in the linear range.
- Ambiguous IC₅₀:Occurs when the curve does not reach a clear saturation plateau at the top or bottom.