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

12.9K
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...
12.9K

You might also read

Related Articles

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

Sort by
Same author

Should flow cytometry be required for CMML diagnosis? Position of the ELN iMDS Flow Working Group.

HemaSphere·2026
Same author

Adult <i>TWIST2</i>-high B-ALL confirms metabolic association but reveals molecular heterogeneity.

HemaSphere·2026
Same author

A practical approach to risk stratification of incidental T cell clonality.

Blood advances·2026
Same author

Comprehensive landscape of secondary cytogenetic and molecular genetic events in multiple myeloma patients at diagnosis.

Leukemia·2026
Same author

SIRT6-Mediated Deacetylation of ATF3 Promotes Silica-Induced Lung Fibrosis by Enhancing its Nuclear Import via Binding to Importin α.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Insights into the Micronutrient and Cardiovascular Health Risks during Pregnancy.

The Journal of nutrition·2026
Same journal

What is the optimal threshold for aberrant lymphoblasts at diagnosis to predict lymphoid transformation in chronic myeloid leukemia?

Cytometry. Part B, Clinical cytometry·2026
Same journal

Quantifying interpretive contributions to analytical variability in clinical flow cytometry.

Cytometry. Part B, Clinical cytometry·2026
Same journal

Quantifying gating heterogeneity in the Ogata score: Implications for reproducibility and score-based diagnostics.

Cytometry. Part B, Clinical cytometry·2026
Same journal

DinoFlow: Self-supervised pretraining in flow cytometry enables accurate detection of common hematopathological disorders.

Cytometry. Part B, Clinical cytometry·2026
Same journal

Flow cytometric PD-L1 expression enhances identification of Reed-Sternberg cells in suspected Hodgkin lymphoma from lymph node biopsies.

Cytometry. Part B, Clinical cytometry·2026
Same journal

27-color flow cytometry for measurable residual disease detection in B-cell lymphoblastic leukemia.

Cytometry. Part B, Clinical cytometry·2026
See all related articles

Related Experiment Video

Updated: Jun 27, 2025

Flow Cytometric Analysis of Bimolecular Fluorescence Complementation: A High Throughput Quantitative Method to Study Protein-protein Interaction
11:11

Flow Cytometric Analysis of Bimolecular Fluorescence Complementation: A High Throughput Quantitative Method to Study Protein-protein Interaction

Published on: August 15, 2013

18.4K

TRBC1 in flow cytometry: Assay development, validation, and reporting considerations.

Katherine A Devitt1,2, Wolfgang Kern3, Weijie Li4

  • 1Department of Pathology and Laboratory Medicine, University of Vermont Medical Center, Burlington, Vermont, USA.

Cytometry. Part B, Clinical Cytometry
|May 3, 2024
PubMed
Summary
This summary is machine-generated.

The T-cell receptor constant region 1 (TRBC1) marker significantly improves T-cell neoplasm diagnosis in clinical flow cytometry. This study guides its integration into existing panels and interpretation for accurate T-cell clonality assessment.

Keywords:
T‐cellflow cytometryleukemialymphomavalidation

More Related Videos

Flow Cytometric Characterization of Murine B Cell Development
08:25

Flow Cytometric Characterization of Murine B Cell Development

Published on: January 22, 2021

15.7K
Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay
14:45

Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay

Published on: September 16, 2012

15.0K

Related Experiment Videos

Last Updated: Jun 27, 2025

Flow Cytometric Analysis of Bimolecular Fluorescence Complementation: A High Throughput Quantitative Method to Study Protein-protein Interaction
11:11

Flow Cytometric Analysis of Bimolecular Fluorescence Complementation: A High Throughput Quantitative Method to Study Protein-protein Interaction

Published on: August 15, 2013

18.4K
Flow Cytometric Characterization of Murine B Cell Development
08:25

Flow Cytometric Characterization of Murine B Cell Development

Published on: January 22, 2021

15.7K
Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay
14:45

Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay

Published on: September 16, 2012

15.0K

Area of Science:

  • Immunology
  • Hematopathology
  • Clinical Cytometry

Background:

  • T-cell clonality assessment via flow cytometry traditionally relies on suboptimal methods like aberrant marker expression.
  • Accurate diagnosis of T-cell neoplasms is crucial for effective patient treatment and management.

Purpose of the Study:

  • To introduce the T-cell receptor constant region 1 (TRBC1) as a promising marker for T-cell neoplasm diagnosis.
  • To provide guidance on incorporating TRBC1 into existing flow cytometry panels for T-cell workups.
  • To offer case examples and highlight potential interpretation challenges for routine clinical application.

Main Methods:

  • Review of TRBC1 marker properties and its application in flow cytometry.
  • Development and presentation of strategies for integrating TRBC1 into established T-cell panels.
  • Analysis of case studies illustrating TRBC1 utility and diagnostic considerations.

Main Results:

  • TRBC1 demonstrates significant potential to enhance the diagnostic accuracy of T-cell neoplasms.
  • Integration into existing panels is feasible, with practical examples provided.
  • Specific diagnostic scenarios requiring cautious interpretation of TRBC1 results are identified.

Conclusions:

  • TRBC1 is a valuable tool for improving T-cell clonality assessment in clinical flow cytometry.
  • Proper integration and interpretation are key to maximizing its diagnostic utility.
  • Further familiarization with TRBC1 is recommended for the flow cytometry community.