Assay Standard Curve Interpolator
Paste your standard data to calculate linear regression and unknown concentrations.
Enter one pair per line, separated by a comma. (X, Y)
0.00
Equation: y = 0.00x + 0.00
R²: 0.00
Linear Regression Modeling
This tool applies a least-squares linear regression to your standard curve points. For highly accurate assays (like BCA or Bradford protein assays), your R² value should ideally be above 0.98. If the curve plateaus at higher concentrations, consider removing the highest points to maintain linearity.
Formulas used:
Linear Fit: y = mx + c
Unknown (x) = (y - c) / m
Linear Fit: y = mx + c
Unknown (x) = (y - c) / m
✅ OLS Regression
✅ Instant Client-Side Computation