How to Analyze Your ELISA Data

How to Analyze Your ELISA Data

Jul 29, 2022

Analyzing your data is just as important as performing your ELISA experiment! For best results, we recommend using curve-fitting software like Curve Expert 1.4 to analyze the results of your ELISA kit experiment.

This demonstration using Curve Expert 1.4 will show how to construct your ELISA standard curve, and how to use the curve equation to calculate your experimental results.

 

1. Open Curve Expert 1.4, and you should see the following screen.
The opening screen of Curve Expert 1.4 without any data added

2. Using the data from your standard curve, input the OD value on the X-axis, against the sample concentration on the Y-axis.   
Optical Density data added into Curve Expert 1.4 for ELISA analysis 

3. Click this iconThe button for modelling options in Curve Expert 1.4 for ELISA Analysis to open model options.
The button for modelling options in Curve Expert 1.4 for ELISA Analysis

4. Click the ‘All Off’ button.
Selecting the correct model option in Curve Expert 1.4 for ELISA Analysis 

5. Select Sigmoidal Models to fit to your ELISA standard curve.

Optical density data analysis for ELISA using a sigmoidal model 
**Please note that the higher the r-value for your equation (or the closer the r-value is to 1), the more reliable values you will get.

6. Hit Ctrl + L in the blank part of the above picture to open the analysis interface.
Analyzing the rest of the data using Curve Expert 1.4 
 
Analyzing the rest of the data using Curve Expert 1.4 
 
After inputting the corresponding OD value (x-value), hit “Calculate” to obtain the concentration (Y-value) of the sample. Factor in any dilutions if necessary.
 

7. Click theHow to view the curve fitting equation for ELISA analysis in Curve Expert 1.4 button  on the top left corner to obtain the ELISA curve fitting equation.
How to view the curve fitting equation for ELISA analysis in Curve Expert 1.4 

 

The curve equation using a logistic model for ELISA data analysis 
8.  Logistic Model: y=a/(1+b*exp(-cx))
Coefficient Data:
a = -1.19763443774E+004
b = -8.45403498052E+001
c = 1.30213993104E+000
 
Click the button “copy” and you will get the figures for curve equation showed in the above screen shot.
Logistic Model: y=a/(1+b*exp(-cx))
Coefficient Data:
a = -1.19763443774E+004
b = -8.45403498052E+001
c = 1.30213993104E+000

 

If you have any questions, or require assistance analyzing your data, please Contact Us for more information. 

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