Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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.
In...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Intercellular nanotube-mediated mitochondrial transfer enhances T cell metabolic fitness and antitumor efficacy.

Cell·2024

Same author

LIM-domain-only 4 (LMO4) enhances CD8<sup>+</sup> T-cell stemness and tumor rejection by boosting IL-21-STAT3 signaling.

Signal transduction and targeted therapy·2024

Same author

Basic Principles of Flow Cytometer Operation: The Make your Own Flow Cytometer.

Methods in molecular biology (Clifton, N.J.)·2024

Same author

Laser Sources for Traditional and Spectral Flow Cytometry.

Methods in molecular biology (Clifton, N.J.)·2024

Same author

Multiparametric Analysis of Apoptosis by Flow Cytometry.

Methods in molecular biology (Clifton, N.J.)·2024

Same author

Flow cytometry and cell sorting.

Frontiers in medicine·2023

Same journal

Detection and Sorting of Extracellular Vesicles and Viruses Using nanoFACS.

Current protocols in cytometry·2020

Same journal

Live Imaging of the Lung.

Current protocols in cytometry·2020

Same journal

Small Particle Fluorescence and Light Scatter Calibration Using FCM<sub>PASS</sub> Software.

Current protocols in cytometry·2020

Same journal

Optimized Stochastic Optical Reconstruction Microscopy for Imaging Chromatin Structure in Pathological Tissue.

Current protocols in cytometry·2020

Same journal

Flow Cytometric Quantification of Granulocytic Alkaline Phosphatase Activity in Unlysed Whole Blood.

Current protocols in cytometry·2020

Same journal

Practical Guidelines for Collection, Manipulation and Inactivation of SARS-CoV-2 and COVID-19 Clinical Specimens.

Current protocols in cytometry·2020

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 17, 2026

Kinetic Measurement and Real Time Visualization of Somatic Reprogramming

Kinetic Measurement and Real Time Visualization of Somatic Reprogramming

Published on: July 30, 2016

Stem cell side population analysis and sorting using DyeCycle violet.

William G Telford¹

¹National Cancer Institute, National Institutes of Health, Bethesda, Maryland.

Current Protocols in Cytometry

|January 14, 2010

Summary

This summary is machine-generated.

Hoechst side population (SP) analysis identifies stem cells but requires expensive UV lasers. DyeCycle Violet offers an alternative for SP analysis using common violet lasers, enabling broader accessibility for stem cell research.

More Related Videos

Harnessing the DNA Dye-triggered Side Population Phenotype to Detect and Purify Cancer Stem Cells from Biological Samples

Harnessing the DNA Dye-triggered Side Population Phenotype to Detect and Purify Cancer Stem Cells from Biological Samples

Published on: May 10, 2017

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

Published on: March 24, 2023

Related Experiment Videos

Last Updated: Jun 17, 2026

Kinetic Measurement and Real Time Visualization of Somatic Reprogramming

Kinetic Measurement and Real Time Visualization of Somatic Reprogramming

Published on: July 30, 2016

Harnessing the DNA Dye-triggered Side Population Phenotype to Detect and Purify Cancer Stem Cells from Biological Samples

Harnessing the DNA Dye-triggered Side Population Phenotype to Detect and Purify Cancer Stem Cells from Biological Samples

Published on: May 10, 2017

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

Published on: March 24, 2023

Area of Science:

Cell Biology
Biotechnology
Flow Cytometry

Background:

Side population (SP) analysis is crucial for identifying stem and progenitor cells.
Hoechst side population analysis typically requires ultraviolet lasers, which are costly and uncommon.
Violet lasers are more accessible but suboptimal for Hoechst 33342 excitation.

Purpose of the Study:

To introduce DyeCycle Violet as an alternative DNA-binding dye for side population analysis.
To enable side population analysis on flow cytometers equipped with violet lasers.
To provide a cost-effective and accessible method for stem cell identification.

Main Methods:

Utilized DyeCycle Violet, a DNA-binding dye with excitation properties suitable for violet lasers.
Performed side population analysis using flow cytometry with a violet laser source.
Described the procedure for DyeCycle Violet labeling and its application in SP analysis.

Main Results:

DyeCycle Violet effectively labels cells for side population analysis using violet lasers.
This method provides a viable alternative to Hoechst 33342 when ultraviolet lasers are unavailable.
The study details the protocol and discusses limitations associated with DyeCycle Violet.

Conclusions:

DyeCycle Violet is a practical substitute for Hoechst 33342 in side population analysis on violet laser-equipped cytometers.
This advancement expands the accessibility of stem cell identification techniques.
Further research may explore optimization and broader applications of DyeCycle Violet.