Mobiolink

Replicate management

Replicate management in Mobiolink automates the identification and consolidation of duplicate measurements (same sample ID, same assay, and same reagents within a single run). Based on central rules defined in the assay master data, Mobiolink calculates a single consolidated result used for all downstream processes — including validation, quality control, display, and export. This fully automates the workflow for laboratory technicians while preserving complete traceability of every individual raw value and exclusion criterion with a single click.

Clear definition

A replicate is strictly defined as the execution of identical measurements — sharing the exact same sample ID, the same assay, and the same reagents — performed within a single run. This clear definition prevents any confusion with other laboratory processes, such as lot or batch validations.

Flexible configuration and rule engine

The behavior of replicates is highly customizable and governed by rules mapped directly within the assay master data.

  • Permissibility matrix: for each assay, replicates can be configured as systematic (mandatory), optional, or not allowed; these rules can be further conditioned on specific BIOGROUPS or other criteria.
  • Consolidation rules: every assay is linked to a replicate definition master file that defines the mathematical and statistical rules used to generate the final result — such as the calculation method (e.g. mean or median) and acceptance criteria (e.g. maximum allowable deviation between individual measurements).

Automated workflow and downstream integration

Once a run is executed, Mobiolink automatically detects the presence of replicates and processes them according to the linked definition file.

  • Consolidated result: a single, validated result is calculated.
  • Unified pipeline: all subsequent laboratory steps — validation, quality control (QC), interface displays, and external exports — exclusively use this consolidated result, preventing data clutter and ensuring consistency.
  • Transparency and compliance: while the complex calculation happens transparently in the background, full auditability is preserved. With a single click on the consolidated result, users can review all individual raw values, the calculation steps, and the specific exclusion reasons at any time.
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