Parallel Line Analysis (PLA) Curve-Fitting Tools, A Practical Guide Using SoftMax Pro® Software

Yvonne Beirne FitzGerald, Field Application Scientist, Molecular Devices, Inc.
Caroline Cardonnel, Technical Support Specialist, Molecular Devices, Inc.

Do you need to increase accuracy in data analysis for determining EC50, relative potency, inhibitions studies, and other experimental results?

Do you need to do this in a simple and effective way?

It has never been easier to implement a wide range of statistical tools using SoftMax® Pro Software, which will enhance analytical evaluation of data. These tools include the widely used 4P and 5P Curve Fit, Parallel Line Analysis (PLA), Weighting, Confidence Intervals, and many other key statistical features. Using SoftMax® Pro Software, it is very simple to determine the goodness of the curve fit and select the best possible curve fit model with confidence for both linear and non-linear data. SoftMax® Pro Software provides the tool to ensure the goodness of fit by enable both weighting and use of confidence intervals in 4P and 5P curves. This then leads to more accurate data estimates for determining EC50, relative potency, inhibitions studies, and other experimental results.

Increase The Accuracy Of Data Estimates By Using:

• Data Weighting
• Parallel Line Analysis (PLA) For Both Linear and Non-Linear Curve Fitting
• Implementing Confidence Intervals

Use When:

• Compare Dose Response Curves
• Evaluate Lot To Lot Variations
• Inhibition Studies Comparisons
• Evaluating Biological Data To Compare Known vs. Unknown For Differences
• Determining Relative Potency (EC50)