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How do I calculate values from a standard curve?

Related

  • Product Support
    • ELISA
      • ELISA guide
      • Cellcular and biochemical assays

      Introduction

      A standard curve is used to accurately determine the concentration of your sample from the signal generated by an assay. The signal is never perfectly proportional to the sample concentration. A standard curve is designed to correct for these effects, so you know which concentration a given signal value corresponds to.

      Standard curves are generally used when you need quantitatively accurate results. The general principles described below apply to our cell-based, biochemical and protein activity assays, as well as our ELISA kits.

      Specific instructions for your kit can be found in the protocol booklet's 'Data Analysis' section.


      ​Performing a standard curve

      ​Specific instructions for standard curves will be indicated in the relevant protocol booklet under the ‘data analysis’ section

      1. Check the protocol booklet to determine whether a standard curve is required for your kit

      • Standard curves are usually required if you're looking to use the kit for quantitative measurement of concentration (rather than semi-quantitative or qualitative analysis).

      ​2. Measure the signal on a range of known concentrations of a standard​

      • ​Concentrations to use will be indicated in the protocol booklet
      • Note that it's often advised to perform this step in duplicate or triplicate for greater reliability

      3. Plot concentration used on the x-axis vs signal on the y-axis (examples below)

      • Example left: standard curve from human VEGF-D ELISA kit (ab233625)
      • Example right: standard curve from Glucose uptake assay (ab234043)


      4. Analyze the plot to determine the trend

      • ​​Specific instructions for analysis will be found in the protocol booklet under ‘data analysis’ section.
      • ELISA data (which is often sigmoidal) usually uses a four parameter curve fit (4PL), although other models can be used if they give a better fit.
      • Many other kits show approximately linear behaviour, so a linear trendline is suitable.


      5. Run the assay on your target sample and measure the signal

      • To be valid, the signal you get should be within the range of values obtained from the standard curve. If not, dilute or concentrate your samples as needed.​​

      6. Use the trend from the standard curve to calculate the concentration from each signal!​

      • Follow specific instructions in the protocol booklet for your kit.
      • Make sure all samples are within the range of the standard curve. If signals are outside this range, the sample will need diluting or concentrating as appropriate.​





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