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Related Experiment Videos

Using a microcomputer to convert percent response values to probits.

T C Krejcie1

  • 1Northwestern University Medical School, Department of Anesthesia, Chicago, IL 60611.

International Journal of Clinical Monitoring and Computing
|January 1, 1991
PubMed
Summary
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Biochemical assays often yield sigmoidal dose-response data. Converting percent response to probits or probability units linearizes this relationship for accurate analysis, simplifying standard curve creation in assays like radioimmunoassay.

Area of Science:

  • Biochemistry
  • Pharmacology
  • Assay Development

Background:

  • Dose-response relationships in biochemical systems are frequently sigmoidal, not linear.
  • Linear analysis is typically limited to the 20-80% response range.
  • Accurate analysis across the entire response spectrum necessitates data transformation.

Purpose of the Study:

  • To introduce a method for linearizing sigmoidal dose-response data.
  • To integrate probit conversion functions into a spreadsheet program.
  • To facilitate automated creation of dose-response and standard curves for biochemical assays.

Main Methods:

  • Conversion of percent response data to probits or probability units.
  • Incorporation of the probability function for probit conversion into spreadsheet software.

Related Experiment Videos

  • Inclusion of the Rohlf and Sokal approximation for converting probits to cumulative percent.

    • Main Results:

    • Developed spreadsheet functions enable linear analysis of sigmoidal dose-response data.
    • Automated creation of dose-response curves and standard curves is achievable.
    • Facilitates use in chemical assays such as radioimmunoassay.

    Conclusions:

    • Spreadsheet-based probit conversion offers a practical solution for analyzing sigmoidal dose-response data.
    • This approach enhances the accuracy and efficiency of standard curve generation in biochemical assays.
    • Enables more comprehensive data analysis beyond the limited linear range.