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Flow Cytometry

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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Related Experiment Video

Updated: Jun 5, 2026

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

Published on: August 16, 2015

Single-cell tracking with a reversing flow cytometer.

Greg Sitton¹, Friedrich Srienc

¹Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455-0312, USA.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology

|December 25, 2010

Summary

This study introduces a novel instrument for tracking individual cell behavior over time. It reveals dynamic cellular processes and population variability not visible with traditional methods.

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Last Updated: Jun 5, 2026

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

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Area of Science:

Cell Biology
Biotechnology
Biophysics

Background:

Traditional flow cytometry analyzes cell populations, obscuring individual cell dynamics.
Understanding single-cell variability is crucial for fields like cancer research and drug development.

Purpose of the Study:

To develop and validate a novel instrument for long-term, single-cell tracking.
To investigate dynamic cellular processes and intercellular variability at the single-cell level.

Main Methods:

A flow cytometer-based instrument was developed to repeatedly pass a fluid segment with cells through a laser focal point.
Individual cells were tracked by laser crossing timing, with properties measured akin to conventional flow cytometry.
Single-cell rates of change were determined through repeated measurements.

Main Results:

Variability in ABC transporter activity was measured in human cancer cells.
Temperature-dependent oscillations in single-cell GFP fluorescence were observed in yeast.
These dynamic single-cell behaviors were undetectable at the population level.

Conclusions:

The developed instrument enables the study of dynamic cellular functions and variability at the single-cell level.
This approach provides insights into cellular heterogeneity and responses to environmental changes.
The findings highlight the importance of single-cell analysis for a comprehensive understanding of cell biology.