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Related Experiment Videos

SACCAS. A semiautomated counting machine with an accommodating threshold selector.

H L Kemper, R F Kallman

    Analytical and Quantitative Cytology
    |June 1, 1983
    PubMed
    Summary

    The Stanford Automated Cell/Colony Autoradiograph Scanner (SACCAS) accurately counts tritium grains on tumor cells. This automated system offers reproducible results comparable to manual counting, improving efficiency in autoradiograph analysis.

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    Area of Science:

    • Biomedical Engineering
    • Cell Biology
    • Radiochemistry

    Background:

    • Autoradiography is crucial for analyzing cellular processes involving radioactive isotopes.
    • Manual grain counting from autoradiographs is time-consuming and prone to inter-observer variability.
    • Accurate quantification of tritium grain distribution is essential for understanding tumor cell behavior.

    Purpose of the Study:

    • To introduce and evaluate the Stanford Automated Cell/Colony Autoradiograph Scanner (SACCAS).
    • To assess the accuracy and reproducibility of SACCAS for tritium grain counting in tumor cells.
    • To compare automated SACCAS grain counts with manual counts performed by experienced operators.

    Main Methods:

    • SACCAS utilizes reflected darkfield illumination and a TV camera for image acquisition.

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  • Automated thresholding of tritium grains from nuclei is performed using a gray-value-histogram evaluation algorithm.
  • Grain counts from 489 nuclei were obtained using SACCAS and compared to manual counts.

    • Main Results:

    • SACCAS demonstrated favorable comparison to manual grain counts.
    • Coefficients of variation were 12.8% for manual counts and 13.0% for SACCAS counts.
    • A high correlation coefficient of 0.98 was observed between mean manual and mean SACCAS counts.

    Conclusions:

    • SACCAS provides accurate and reproducible tritium grain quantification.
    • The automated system significantly expedites the analysis of tumor cell autoradiographs.
    • SACCAS offers a reliable alternative to manual counting, enhancing research efficiency.