Import plate-reader data from CSV or Excel
Choose the relevant worksheet, detect the 96-well measurement region, and retain a SHA-256 fingerprint that identifies the source data file.
Import plate-reader data, map samples and dilution series, fit dose-response models, calculate relative potency, evaluate configurable suitability criteria, and export the result as a traceable report.
The result includes the plate map, calculated concentrations, excluded wells, suitability criteria, software version, display settings, and report—not just the fitted curve.
Choose the relevant worksheet, detect the 96-well measurement region, and retain a SHA-256 fingerprint that identifies the source data file.
Name reference and test samples, assign every included well, and keep the plate position connected to its scientific role.
Select a restricted or unrestricted fit, weighting, and constraints, and record the software version used.
Derive concentrations from the configured dilution series and report midpoint estimates and reference-relative potency with their units.
Apply method-specific fit, replicate, potency, and parallelism rules and show the observed value behind every pass or fail.
Require a scientific reason for excluded values and export the plate map, model and suitability settings, and report formatting as a reusable JSON configuration.
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 restricted 4PL fit and recovers 80.0% relative potency. Load the same plate in the workspace and inspect its fitted parameters, system-suitability results, source data file fingerprint, and analysis configuration fingerprint in the generated report.