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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Multicolor Flow Cytometry-based Quantification of Mitochondria and Lysosomes in T Cells
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Multicolor Flow Cytometry-based Quantification of Mitochondria and Lysosomes in T Cells

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Analysis of flow cytometry data.

S O Sharrow1

  • 1National Cancer Institute, Bethesda, Maryland, USA.

Current Protocols in Immunology
|August 1, 2008
PubMed
Summary
This summary is machine-generated.

This study details flow cytometry data analysis methods, including frequency determination and signal-to-noise ratio calculations for logarithmic amplifiers. These techniques enable accurate comparison of antigenic determinants across different cell types.

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Area of Science:

  • Biotechnology
  • Cell Biology
  • Immunology

Background:

  • Flow cytometry is a powerful technique for analyzing single cells.
  • Accurate data analysis is crucial for reliable experimental outcomes.
  • Logarithmic amplification is commonly used in flow cytometry but requires proper calibration.

Purpose of the Study:

  • To present methods for flow cytometry data analysis.
  • To describe the calculation of signal-to-noise ratios using logarithmic amplification.
  • To provide a procedure for calibrating logarithmic amplifiers.

Main Methods:

  • Analysis of single-parameter fluorescence histograms and dual-parameter contour plots for frequency determinations.
  • Calculation of signal-to-noise ratios for comparing antigenic determinants per cell.
  • Construction of a calibration curve for logarithmic amplifiers.

Main Results:

  • Established methods for frequency determination in flow cytometry data.
  • Provided a procedure for calculating signal-to-noise ratios with logarithmic amplification.
  • Developed a calibration curve method for logarithmic amplifiers.

Conclusions:

  • The presented methods enhance the accuracy of flow cytometry data analysis.
  • Signal-to-noise ratio calculations are essential for comparing cellular antigen levels.
  • Logarithmic amplifier calibration ensures instrument performance and data integrity.