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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 2, 2026

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)

Published on: June 28, 2017

A parallel microfluidic flow cytometer for high-content screening.

Brian K McKenna¹, James G Evans, Man Ching Cheung

¹Boston University, Department of Biomedical Engineering, Boston, Massachusetts, USA.

|April 12, 2011

Summary

This summary is machine-generated.

A novel parallel microfluidic cytometer (PMC) enhances flow cytometry by using 384 parallel channels and 1D imaging. This approach improves signal-to-noise ratio for studying protein localization and cellular assays.

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Last Updated: Jun 2, 2026

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Published on: June 28, 2017

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Area of Science:

Biotechnology
Cell Biology
Analytical Chemistry

Background:

Flow cytometry is a powerful tool for cell analysis.
Traditional flow cytometry can be limited by count rate and signal-to-noise ratio.
Investigating protein localization and cellular responses requires advanced analytical techniques.

Purpose of the Study:

To introduce and validate a parallel microfluidic cytometer (PMC) for enhanced cell analysis.
To demonstrate the PMC's capability in protein localization studies.
To assess the feasibility of using PMC for nuclear translocation assays.

Main Methods:

Development of a parallel microfluidic cytometer with 384 parallel flow channels.
Integration of a high-speed scanning photomultiplier-based detector for 1D imaging.
Application of six-pixel 1D images for cellular analysis.

Main Results:

The PMC decouples count rate from signal-to-noise ratio, enhancing analytical performance.
Successfully investigated protein localization in a yeast model for human protein misfolding diseases.
Demonstrated the feasibility of a nuclear-translocation assay in Chinese hamster ovary (CHO) cells.

Conclusions:

The parallel microfluidic cytometer offers a robust platform for high-throughput cell analysis.
PMC technology advances the study of protein misfolding diseases and cellular signaling pathways.
This method provides a new tool for quantitative biological research.