There seem to be Top 10 lists for everything these days so why not have one as well for Luminex/Bio-Plex® Data Analysis.
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The 5-PL or 5 Parameter Logistic is a nonlinear regression model used for prediction of the probability of occurrence of an event by fitting data to a logistic curve. It differs from the 4-PL or 4 Parameter Logistic model in that it is an asymmetric function which is a better fit for immunoassay or bioassay data. As the name suggests, there are 5 parameters in the 5-PL model equation:
In an effort to make standard curve fitting even easier and add more value to MasterPlex we have included a Best Fit feature in the latest version of QT. After importing your xMAP/BioPlex data and applying your analysis template you can select the Best Fit feature. The software will automatically cycle through the myriad of standard curve fit choices and select the best model equation and weighting algorithm for EACH analyte.
There are 2 ways to mark outliers depending on the type of sample or well you are marking.
If you are working with a standard, first click on the Open Standard Curve Chart icon.
Next, click on the Standard Data tab.
The Standard Data tab view lists all your standard wells for the selected analyte along with some standard information and statistics such as the Expected, Residuals, and % Recovery. There is also a column of checkboxes to mark your outliers. Simply click on the checkbox to mark the particular standard data point as an outlier.
Please note that you will have to recalculate your standard curves in order to see the new curves and values. To trigger the recalculation dialogue, just click on another tab such as the Stardard Curve Chart tab. This will redraw your standard curves excluding your outliers and all the concentrations will be recalculated.
If you would like to mark an unknown sample as an outlier, the procedure is slightly different. Click on the data pull-down menu and choose Outlier Selection.
Next, click on the Edit Tool icon to enter the edit mode.
Once you are in edit mode, just click on the checkbox for the data point that you would like to mark as an outlier. Please note that checking a well will only mark the sample for the selected analyte.
Marking unknown samples will exclude them from statistic calculations for replicate groups such as Average MFI and %CV. When generating the reports, these points will be grayed out as well indicating that they are outliers.
