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Related Experiment Videos

HIDACSYS: computer programs for interactive scanning cytophotometry

M Van der Ploeg, K Van den Broek, A W Smeulders

    Histochemistry
    |December 28, 1977
    PubMed
    Summary

    Three computer programs enhance stage scanning cytophotometry and cytofluorometry for analyzing cells. The study details their optimal use based on specimen conditions and program limitations for accurate cell analysis.

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    Area of Science:

    • Cell biology
    • Microscopy
    • Image analysis

    Background:

    • Computer-assisted microscopy is crucial for quantitative cell analysis.
    • Cytophotometry and cytofluorometry require precise object segmentation.
    • Analyzing touching or overlapping cells presents a significant challenge.

    Purpose of the Study:

    • To describe and evaluate three computer programs for stage scanning cytophotometry and cytofluorometry.
    • To determine the optimal application range for each program based on specimen characteristics.
    • To assess the performance of these programs in analyzing various cell types and stained preparations.

    Main Methods:

    • Development of three distinct computer programs for automated image analysis.
    • Application of programs to microscopical preparations with isolated, close-lying, or touching objects.

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  • Determination of integrated absorbance values for stained cells (Feulgen, gallocyanin-chrome alum, azo dye).
  • Testing on diverse cell types including erythrocytes, leucocytes, skin biopsy cells, and granulocytes.

    • Main Results:

    • Individual program advantages and limitations were identified.
    • Optimal usage scenarios for each program were established based on specimen conditions.
    • Successful application demonstrated for various cell types and staining methods, including alkaline phosphatase activity.

    Conclusions:

    • The described programs offer versatile tools for computer-assisted cytophotometry and cytofluorometry.
    • Understanding program-specific limitations and specimen requirements is key to accurate cell analysis.
    • These methods provide reliable quantitative data for diverse biological samples.