Generate a calibration curve from standard concentration-response data using linear regression, with automatic calculation of the limit of detection (LOD) and limit of quantification (LOQ). Use this tool whenever you need to quantify an unknown analyte by spectrophotometry, chromatography, or ELISA — standards of known concentration establish the relationship between instrument signal and analyte amount. A good calibration curve has R² above 0.995, and unknown concentrations should only be interpolated within the calibrated range, never extrapolated beyond it.
About Calibration Curves
A calibration curve establishes the relationship between an instrument’s response and known analyte concentrations. Linear regression (y = mx + b) is used to fit the data, and the resulting equation enables quantification of unknown samples. The limit of detection (LOD) is the lowest concentration distinguishable from a blank (typically 3.3σ/slope), while the limit of quantification (LOQ) is the lowest reliably quantifiable concentration (10σ/slope). At least five to eight standards are recommended for a robust calibration.
