Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

14.7K
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...
14.7K

You might also read

Related Articles

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

Sort by
Same author

Redefining light-chain smoldering multiple myeloma: prevalence and progression risk.

Leukemia·2026
Same author

Antigen-scaffolds loaded with hyper-stable neoleukin-2/15 expand antigen-specific T cells with a favorable phenotype for adoptive cell therapy.

Frontiers in immunology·2026
Same author

Exploring the Functional Impact of Individual <i>DDX41</i> Variants With a Fast and Robust Cell-Based Method.

Human mutation·2026
Same author

The evolving role of cytokines for CAR-T cell manufacturing and beyond.

Nature biomedical engineering·2026
Same author

Mosaic Chromosomal Alterations Identify Ultra-High Risk Clonal Hematopoiesis in Patients With Lymphoma Undergoing Intensive Chemotherapy.

American journal of hematology·2026
Same author

Bone marrow immunosuppressive states associate with survival after guadecitabine and atezolizumab therapy in HMA-R/R MDS.

Blood neoplasia·2026

Related Experiment Video

Updated: Nov 4, 2025

Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry
10:58

Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry

Published on: March 5, 2019

14.2K

A user's guide to multicolor flow cytometry panels for comprehensive immune profiling.

Staffan Holmberg-Thyden1, Kirsten Grønbæk2, Anne Ortved Gang3

  • 1Dept. of Hematology, Copenhagen University Hospital, Rigshospitalet, Denmark; T-cells and Cancer, Experimental & Translational Immunology (XTI), Health Technology, Technical University of Denmark, Denmark.

Analytical Biochemistry
|May 25, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a systematic workflow to standardize multicolor flow cytometry, reducing errors and improving immune system analysis. Unsupervised clustering aids in identifying critical cell subpopulations in hematological cancer patients.

Keywords:
Flow cytometryImmune monitoringImmunologyMyelodysplastic syndromeUnsupervised clustering

More Related Videos

High-Dimensionality Flow Cytometry for Immune Function Analysis of Dissected Implant Tissues
08:21

High-Dimensionality Flow Cytometry for Immune Function Analysis of Dissected Implant Tissues

Published on: September 15, 2021

2.5K
Multicolor Flow Cytometry Analyses of Cellular Immune Response in Rhesus Macaques
07:11

Multicolor Flow Cytometry Analyses of Cellular Immune Response in Rhesus Macaques

Published on: April 22, 2010

21.4K

Related Experiment Videos

Last Updated: Nov 4, 2025

Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry
10:58

Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry

Published on: March 5, 2019

14.2K
High-Dimensionality Flow Cytometry for Immune Function Analysis of Dissected Implant Tissues
08:21

High-Dimensionality Flow Cytometry for Immune Function Analysis of Dissected Implant Tissues

Published on: September 15, 2021

2.5K
Multicolor Flow Cytometry Analyses of Cellular Immune Response in Rhesus Macaques
07:11

Multicolor Flow Cytometry Analyses of Cellular Immune Response in Rhesus Macaques

Published on: April 22, 2010

21.4K

Area of Science:

  • Immunology
  • Biotechnology
  • Data Science

Background:

  • Multicolor flow cytometry is vital for immune system research, yielding multiparametric data from patient samples.
  • Instrument variability and analytical errors complicate flow cytometry, impacting data reliability.
  • Standardization is needed to address performance variations in flow cytometry instruments.

Purpose of the Study:

  • To present a systematic workflow for optimizing multicolor flow cytometry panels for specific equipment.
  • To improve the accuracy and reproducibility of flow cytometry analysis in health and disease.
  • To identify significant cell subpopulations using advanced data analysis techniques.

Main Methods:

  • Developed a systematic workflow for pairing colors to markers, optimized for specific flow cytometry instruments.
  • Designed four comprehensive flow cytometry panels for hematological cancer patient samples.
  • Incorporated quality control, antibody titration, compensation, and cell staining protocols.
  • Applied unsupervised clustering techniques to analyze large datasets from multicolor flow cytometry.

Main Results:

  • The workflow demonstrated effective optimization of flow cytometry panels.
  • Standardized protocols addressed common analytical errors and instrument variations.
  • Unsupervised clustering identified novel cell subpopulations missed by conventional gating.
  • The approach was exemplified with panels for hematological cancer research.

Conclusions:

  • The presented workflow enhances the reliability and accuracy of multicolor flow cytometry.
  • Systematic panel design and advanced data analysis overcome key limitations in the field.
  • This method facilitates deeper insights into the immune system, particularly in complex diseases like hematological cancers.