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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 4, 2026

Optimization of Flow Cytometric Sorting Parameters for High-Throughput Isolation and Purification of Small Extracellular Vesicles

Optimization of Flow Cytometric Sorting Parameters for High-Throughput Isolation and Purification of Small Extracellular Vesicles

Published on: January 20, 2023

Optimizing optical flow cytometry for cell volume-based sorting and analysis.

Amit Tzur¹, Jodene K Moore, Paul Jorgensen

¹Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.

|February 2, 2011

Summary

This summary is machine-generated.

Sorting cells by size is crucial for research. This study identifies optimal optical measurements for cell sorters to accurately estimate cell volume, improving cell subpopulation separation for genomic and proteomic studies.

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Last Updated: Jun 4, 2026

Optimization of Flow Cytometric Sorting Parameters for High-Throughput Isolation and Purification of Small Extracellular Vesicles

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Published on: January 20, 2023

Flow Cytometry Purification of Mouse Meiotic Cells

Flow Cytometry Purification of Mouse Meiotic Cells

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Published on: December 31, 2015

Area of Science:

Cell biology
Biophysics
Biotechnology

Background:

Cell size is a fundamental characteristic influencing cell function and tissue structure.
Current cell sorting technologies lack direct electronic volume measurement capabilities.
Accurate cell size sorting is essential for advanced genomic and proteomic analyses.

Purpose of the Study:

To determine which optical measurements best estimate cell volume for sorting.
To optimize cell sorting strategies for separating cell subpopulations based on size.
To provide a method for researchers to enhance volume-based cell sorting.

Main Methods:

Investigated various light scattering and fluorescence measurements across multiple cell lines.
Sorted cell fractions based on high and low ends of optical measurement distributions.
Electronically measured cell volume to validate sorting accuracy.

Main Results:

Different optical measurements were found to be optimal for estimating cell volume in different cell lines.
The study successfully identified effective sorting strategies for volume-based separation.
Validated the correlation between optical measurements and actual cell volume.

Conclusions:

Optical measurements can effectively estimate cell volume for sorting purposes.
Researchers can optimize their cell sorters for specific cell types using the outlined procedure.
Improved volume-based cell sorting will advance research into cell size regulation and function.