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Data analysis
Data analysis add-ons offer a wide range of capabilities, ranging from analytical methods over comprehensive analysis to assay workflows and statistical process control.
Dose-Response Analysis Package
The Dose-Response Analysis Package provides various biostatistical methods for immunoassays, ELISA, and more. It supports you in investigating equivalence for calibration curves, provides enhanced data processing, and options for subgroup analysis.
Dose-response analysis
Use Dose-response analysis documents to perform curve comparisons and create calibration curves.
Analytical settings
To support you in defining your analytical settings, Dose-response analysis documents provide a set of concepts you should be familiar with when working with this document type.
Response data processing
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.

Get started
Explore PLA 3.0, its key features and ongoing enhancements, and learn how to log in and register.
User interface
PLA 3.0 supports you in your daily work by providing a set of graphical and textual user interface elements. Learn about the different elements and how to use them efficiently.
Key concepts
Details on documents and templates, the data editors and the Content editor of PLA 3.0. Learn about the position factors and data aggregation features.
Data analysis
Data analysis add-ons offer a wide range of capabilities, ranging from analytical methods over comprehensive analysis to assay workflows and statistical process control.
- Biological Assay Package
  Use the Biological Assay Package for potency analysis of biological assays. The add-on comes equipped with a highly flexible test system to qualify your assay. You can perform combination calculations to obtain a reportable value from independent assay runs and use historic assay data to develop equivalence margins.
- bioMérieux Endotoxin Detection Assay Package
  Use the bioMérieux Endotoxin Detection Assay Package add-on to perform endotoxin testing based on recombinant factor C (rFC), a synthetic alternative to naturally sourced reagents derived from horseshoe crabs, as offered by the bioMérieux company.
- Control Chart Package
  The Control Chart Package allows sophisticated statistical process control (for example, by plotting Shewhart I-Charts as recommended in the USP <1010>). It provides visualization options for intervals, subcharts and sidecharts, and allows you to define colors by a secondary characteristic. You can also define rules based on events and time frames.
- Dichotomous Assay Package
  Use the Dichotomous Assay Package to analyze biological assays based on quantal (binary) responses by fitting probit or logit models to estimate the potency of your samples.
- Dose-Response Analysis Package
  The Dose-Response Analysis Package provides various biostatistical methods for immunoassays, ELISA, and more. It supports you in investigating equivalence for calibration curves, provides enhanced data processing, and options for subgroup analysis.
  - Installation
    Find details on the system requirements for the Dose-Response Analysis Package add-on and the steps to install the add-on in your environment.
  - Dose-response analysis
    Use Dose-response analysis documents to perform curve comparisons and create calibration curves.
    - Assay setup
      To support you in setting up your assay, Dose-response analysis documents provide a set of concepts you should be familiar with when working with this document type.
    - Analytical settings
      To support you in defining your analytical settings, Dose-response analysis documents provide a set of concepts you should be familiar with when working with this document type.
      - Response data processing
        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.
      - Data selection schemes
        Data selection schemes define which data are considered in the analysis.
    - Suitability testing
      Define a collection of suitability tests.
  - Equivalence margin development
    Use Equivalence margin development documents to utilize data of earlier assays to develop and verify test systems and export these systems to apply them in new assay development.
  - Test system definition
    Use the Test system definition document type to define a collection of suitability tests and corresponding margins for Dose-response analysis documents.
  - Use case: Determine total human thyroxine (T4)
    Thyroxine (T4) is a commonly measured thyroid hormone for diagnosis of the thyroid function. Determining the total quantity of human thyroxine in serum is a standard use case for interpolation on a calibration curve.
  - Reference information
    Find reference information on the document types of the Dose-Response Analysis Package add-on.
- Microbial Assays for Antibiotics Package
  The Microbial Assays for Antibiotics Package for PLA 3.0 is your software for assessing the potency of antibiotics. This add-on supports various methods, that is, cylinder-plate, turbidimetric, and combination of microbial assays. It enables you to closely follow the guidelines laid out in the United States Pharmacopeia (USP <81>) and the Japanese Pharmacopoeia (JP 4.02).
- Supporting add-ons
  Find details on add-ons that support and supplement data analysis add-ons.
Data import
Use data acquisition and data import add-ons to import external response values and observation data into PLA 3.0 for further processing and evaluation.
Installation
Details on the deployment, installation, initial and advanced setup of PLA 3.0.
Licensing
Details on the licensing solution of PLA 3.0, the available licensing options, and the activation and management of licenses.
Administration
Details on system administration tasks such as setup and maintenance of databases and add-ons, user accounts, access rights, and migration and update procedures.
Regulatory compliance
PLA 3.0 supports you in achieving compliance with regulations such as ISPE GAMP^® 5 and 21 CFR Part 11. It also provides options to validate PLA 3.0 in your environment.
PDF downloads
Download PDF guides of current and previous framework and add-on versions.
Sample lab
Meet the team at Stegmann Labs, where PLA 3.0 plays an essential role in every step of bioassay management.
Glossary
Find definitions of terms.

Response data processing

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.

The following image from the 'Linear calibration curve (enhanced response data processing)' sample document shows a possible setup for the processing of response data. You can employ several adjustment and normalization steps and you can adjust the sequence of response data processing steps to your needs by drag and drop.

Note: This setup is intended to show all available response data processing methods. It is not intended as a recommendation for a setup in a productive system.

Figure 1. Response data processing setup for curve interpolation

Select the transformation method that is appropriate for your data. We support the following methods:

Adjustment
Normalization
Transformation
Replicate averaging

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.

Figure 2. Adjustment by a fixed value

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.

Figure 3. Normalization by assay element scope

Transformation

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

Figure 4. Square root response transformation

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.

Figure 5. Activation of replicate averaging