Interlaboratory Comparison Report

In this chapter, it is possible to create an Interlaboratory Comparison Report.

An Interlaboratory Comparison (Proficiency) report can be created for each batch or method in the selected period.
A statistical comparison is made per batch, strain, and method of all customer data, including a Z-score and related relevant data.

Go to Menu: Analyse Charts -> Interlaboratory Comparison Report
Go to Menu: Analyse Charts -> Interlaboratory Comparison Report

Select a type of Interlaboratory comparison Report you want to make: Method or Batch-based Comparison.

A list of the selected method, batches, and strains is displayed. The Report can be viewed by pressing Open Panel.

Method-based Interlaboratory Comparison

Method-based Interlaboratory Comparisons allow you to select one method and up to one batch and strain.

Method-based Interlaboratory Comparisons. Make the selections and -> Render report
Method-based Interlaboratory Comparisons. Make the selections and -> Render report

Batch-based Interlaboratory Comparison

Batch-based Interlaboratory Comparison allows you to select one batch and one strain, and multiple methods.

Batch-based Interlaboratory Comparisons. Make the selections and -> Render report
Batch-based Interlaboratory Comparisons. Make the selections and -> Render report
ItemKind of Report information
PerformanceRobustMean, Robust Standard, Deviation, Relative Standard, Deviation, Reproducibility, Total Iterations
Laboratory Z-scoresLaboratory, Average, Data Points, RSD, Z-score, Interpretation (satisfactory - questionable - unsatisfactory)
RSD chartA chart with RSD of all the laboratories
Z-scoresA chart with Z-scores of all the laboratories

Biosisto - Quality in Control

Microbiological laboratories should be able to receive reliable analysis without much overhead. A microbiological analyst must be able to focus on the primary activities, for example analysis of the sample material. Quality control should support the analyst in a logical and simple manner. By using modern information technology, process control and quality assurance are designed smarter and more effective.

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