ELISA test - set up and data analysisElisa set up
Posted 09 December 2011 - 08:20 AM
I'm a new member of forum and a new user of ELISA tes. I have some questions for you.
O.D. values of a reader is the same of another reader or not? Are they similar? Can I compare O.D. valuese of a reader with the values obtained with other readers?
I will use a commercial kit for dosage a protein.
I will follow the instructions on the data shee of the kit, but how do I know if the values obtained of the calibrators are correct (O.D. values?) or not?
Can I understand this thing with data analysis? I will use the 4 parameter logistic model. There is a parameter usefull for undestand if the calibration curve is ok?
Thank you very much for your help.
Posted 09 December 2011 - 01:25 PM
you can plot the results of the calibrators to determine if they worked okay.
and, you compare your samples to the calibrators. the result of this will be comparable across machines and plates.
genius does what it must
i do what i get paid to do
Posted 28 December 2011 - 11:00 AM
Posted 29 December 2011 - 03:39 AM
The only way you can 'compare' your samples to the 'calibrators' is if you know the values of the samples. You are also assuming the matrix of the calibrators and the samples is the same and that you have no matrix effect.
You are looking for r to be as close to 1 as possible with an intercept of 0 and a slope of 1. You should also determine %CV of the test by running several replicates of your first postive calibrator and your last. %CV should be < 5%.
OD values may not be the same across instruments but you can normalize the data to see how they compare.
Posted 04 January 2012 - 04:14 AM
I obtained the follow calibration values:
The first step will be to build the calibration curve obtained with the values and consider the statistical values of output (using 4 parameters logistic model). If the statistical values are good I will have to proceed with the calculation of the concentrations of unknown samples.
Is this method right?
Help me, please
Thank you very much.
Posted 04 January 2012 - 04:24 AM
Your statistical values are comparision of your values to any reference values (another method) or by the concentrations you spiked into the matrix.
Basically observed v. expected. Reference method v. new method. etc... other things you can do are:
spike and recovery into a specific matrix
linearity (serial dilution of high sample v. high calibrator) to check for matrix effects. curves here should be parallel.
finally specificity among other tests...
The curve results are nicely spaced and cover a 2 log change. Now how do your results compare to what you exepect?
Posted 05 January 2012 - 07:08 AM
I obtained that Abs value
I constructed my curve: RMSE 0.0149 and Rsquare 0.9999 using calibrators values
I interpolated my unknows values with curve and calculated protein concentrations using as reference.
In my next test I will use calibrators, samples in double.
I wanted to ask what are the values of % CV that I should consider.
Posted 05 January 2012 - 07:38 AM
In general %CV plot (y axis) v. Concentration (x axis) should look like a "U".