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Related Experiment Videos

MacCueSee: a quality control program for the Macintosh computer.

R A Mueller1, N C Wynn, M B Lee

  • 1Clinical Research Center, Medical College of Wisconsin, Milwaukee 53226.

International Journal of Bio-Medical Computing
|May 1, 1991
PubMed
Summary
This summary is machine-generated.

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MacCueSee software simplifies quality control analysis for radioimmunoassay by calculating standard deviations and coefficients of variation. This program enhances accuracy and efficiency in monitoring analytical methods.

Area of Science:

  • Biomedical Engineering
  • Laboratory Science
  • Software Development

Background:

  • Radioimmunoassay (RIA) requires precise quality control for accurate results.
  • Routine calculations for quality control data can be time-consuming and prone to error.
  • Existing methods may lack flexibility in handling varying assay parameters.

Purpose of the Study:

  • To introduce MacCueSee, a software program designed for automated quality control calculations in RIA.
  • To provide a flexible and efficient tool for monitoring assay performance.
  • To demonstrate the applicability of MacCueSee beyond RIA for general analytical method monitoring.

Main Methods:

  • MacCueSee is developed using Microsoft QuickBASIC for the Apple Macintosh.
  • It processes spreadsheet files containing control concentration values.

Related Experiment Videos

  • Calculations include within- and between-assay standard deviation (S.D.) and coefficient of variation.
  • The software accommodates varying replicates and automatically excludes missed assays.
  • It supports calculations for single, duplicate, and triplicate assay tubes.
  • Main Results:

    • The program calculates average concentration +/- 1 S.D. and +/- 2 S.D. to establish between-assay ranges.
    • It provides detailed variability calculations for within-assay performance.
    • Results are displayed on-screen and can be optionally printed for record-keeping.
    • Demonstrates flexibility in handling different assay configurations and data inputs.

    Conclusions:

    • MacCueSee offers a robust solution for routine quality control calculations in radioimmunoassay.
    • Its design enhances the accuracy and efficiency of laboratory data analysis.
    • The software's versatility allows for application in various analytical methods requiring quality control monitoring.