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A low-priced computer-assisted densitometer and analysis software for quantitative autoradiography.

J I Choca1, F M Clark, R D Green

  • 1Department of Pharmacology, University of Illinois College of Medicine at Chicago 60612.

Journal of Neuroscience Methods
|June 1, 1988
PubMed
Summary

This study presents a cost-effective computer-assisted densitometer system for quantitative autoradiogram analysis. The system, utilizing a BASIC program (QUANTAR) and spreadsheet software, enables accurate ligand concentration determination in tissues.

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Area of Science:

  • Biochemistry
  • Neuroscience
  • Pharmacology

Background:

  • Quantitative analysis of autoradiograms is crucial for biological research.
  • Existing methods can be expensive and complex.
  • A need exists for accessible, budget-friendly analytical tools.

Purpose of the Study:

  • To develop and validate a low-cost computer-assisted densitometer system for autoradiogram analysis.
  • To enable accurate quantification of ligand concentration in biological tissues.
  • To provide a versatile tool for various data analyses, including standard curves and binding assays.

Main Methods:

  • Assembly of a computer-assisted densitometer using a darkroom enlarger, exposure meter, amplifier, and microcomputer.
  • Development of QUANTAR, a BASIC program for density measurement and data storage.

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  • Creation of spreadsheet templates for converting digital readings to ligand concentration and performing data analysis (Scatchard plots, competition curves).

    • Main Results:

    • The developed system successfully quantifies autoradiogram density.
    • QUANTAR software efficiently records and stores data for spreadsheet analysis.
    • Spreadsheet templates facilitate accurate calculation of ligand concentration and various binding assay analyses.

    Conclusions:

    • A user-friendly and affordable computer-assisted densitometer system for autoradiogram analysis has been established.
    • This system offers a practical solution for researchers with limited budgets.
    • The methodology supports diverse quantitative analyses in biological and pharmacological studies.