Import plate-reader data from CSV
Detect or select the measurement region and retain the server-computed SHA-256 identity of the source bytes.
Import plate-reader CSV data, map samples and dilution series, run one of three exact supplier-verified relative-potency models, evaluate model-specific adequacy and configurable suitability criteria, and export the retained result as a report.
The result includes the plate map, calculated concentrations, excluded wells, suitability criteria, software version, display settings, and report—not just the fitted curve.
Detect or select the measurement region and retain the server-computed SHA-256 identity of the source bytes.
Name reference and test samples, assign every included well, and keep the plate position connected to its scientific role.
Select one exact supported model during method development and record its fixed calculation contract and producing platform release.
Apply the selected model’s locked estimand and uncertainty convention and report the result with its units.
Retain the fixed scientific adequacy result and apply the configured method-suitability rules without switching models or calculations.
Require a scientific reason for excluded values and keep the exact mappings, settings, criteria, and report choices with the completed analysis.
Generate fitted curves, parameter tables, suitability outcomes, exclusions, analyst details, and fingerprints for the source data file and analysis configuration directly from the analysis results.
The documented example dataset uses a common-shape 4PL fit and recovers 80.0% relative potency. Load the same plate in the workspace and inspect its fitted parameters, adequacy and suitability results, source data file fingerprint, and analysis configuration fingerprint in the generated report.