Response data processing

Use response data processing to configure the processing of response data, for example, to subtract the absorbance of blank wells or to divide response values by the mean absorbance of maximum binding wells.

About response data processing

Response data processing defines how PLA 3.0 adjusts raw response values before using them for analysis. This step helps you prepare the data in a way that reflects the characteristics of your assay and improves comparability across samples and experiments.

Common processing operations include subtracting background signals, such as the absorbance of blank wells, or normalizing data, for example by dividing response values by the mean absorbance of maximum binding wells.

Dose-response analysis documents support the following response data processing methods:

Adjustment

A fixed value or the mean response of a specific assay element is subtracted from every response value. You can apply adjustments to a group of assay elements (for example, Standard or Test), an individual assay element, or a specific plate.

Normalization

The response value is divided by a fixed value or the mean response of a specific assay element. You can apply normalizations to a group of assay elements (for example, Standard or Test), an individual assay element, or a specific plate.

Transformation

The response value is transformed according to the function you select. You can employ logarithmic, square, and square root transformation functions.

Replicate averaging

The regression uses the average response of each dose step rather than the response values of individual replicates. As this method influences the degrees of freedom and the control limits, we recommend using it with care, for example, when using pseudoreplicates instead of true replicates.

Work with response data processing

For details on how to create and work with response data processing, see the Set up response data processing topic.