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

Fault-tolerant 3D reconstruction from 2D spatial proteomics sections.

bioRxiv : the preprint server for biology·2026

Same author

Coordinated immune-epithelial dynamics in the nasal epithelium protect against respiratory virus infection.

bioRxiv : the preprint server for biology·2026

Same author

Mitochondrial potential reflects T cell fitness and function during cancer immunotherapy.

Journal of immunology (Baltimore, Md. : 1950)·2026

Same author

Single-cell spatial pharmacobiology identifies conserved stromal barriers to therapeutic antibody delivery in human solid tumors.

Nature biotechnology·2026

Same author

CD39<sup>+</sup>CD49a<sup>+</sup>CD103<sup>+</sup> cytotoxic tissue-resident natural killer cells infiltrate and control solid epithelial tumor growth in mice.

Science translational medicine·2026

Same author

Estimating time since influenza virus exposure using single-cell proteomic data.

Frontiers in immunology·2026

Same journal

Molecular Mechanisms and Optimization Strategies for the Impact of Antihypertensive, Lipid-Lowering, and Antidiabetic Drugs on Gut Microbiota.

Assay and drug development technologies·2026

Same journal

Identification of Broad-Spectrum Inhibitors Targeting Multiple Amyloidogenic Proteins Using Functional Group-Based Virtual Screening.

Assay and drug development technologies·2026

Same journal

Formulation, Characterization, and Biological Assessment of Embelin-Loaded Glycerosomes.

Assay and drug development technologies·2026

Same journal

Comprehensive Physicochemical Characterization and Release Kinetics of an Astaxanthin Nanoplex: Integrated <i>In Silico</i> and <i>In Vitro</i> Evaluation.

Assay and drug development technologies·2026

Same journal

Indolizine Compound Selection for HPV Anticancer Active Prediction Using CNN Classifier with ADME Descriptors.

Assay and drug development technologies·2026

Same journal

Ellagic Acid-Loaded Microsponges Impregnated Chitosan-Guar Gum Hydrogel for Wound Therapy: Investigation on Rheology, Antioxidant, and Antimicrobial Activities.

Assay and drug development technologies·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

WebFlow: a software package for high-throughput analysis of flow cytometry data.

Mark M Hammer¹, Nikesh Kotecha, Jonathan M Irish

¹Baxter Laboratory in Genetic Pharmacology, Department of Microbiology, Stanford University, Stanford, California 94305, USA.

Assay and Drug Development Technologies

|February 4, 2009

Summary

This summary is machine-generated.

WebFlow is a new web-based software for managing and analyzing flow cytometry data. This tool addresses challenges in high-throughput experiments, enabling better visualization and sharing of single-cell analysis results.

More Related Videos

Systematic Analysis of In Vitro Cell Rolling Using a Multi-well Plate Microfluidic System

Systematic Analysis of In Vitro Cell Rolling Using a Multi-well Plate Microfluidic System

Published on: October 16, 2013

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

Related Experiment Videos

Last Updated: Jun 26, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

Systematic Analysis of In Vitro Cell Rolling Using a Multi-well Plate Microfluidic System

Systematic Analysis of In Vitro Cell Rolling Using a Multi-well Plate Microfluidic System

Published on: October 16, 2013

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

Area of Science:

Biotechnology
Bioinformatics
Immunology

Background:

Flow cytometry enables quantitative single-cell analysis of surface and intracellular markers.
High-throughput flow cytometry generates vast datasets, posing data management and analysis challenges.
Current methods struggle with efficient handling of large-scale flow cytometry data.

Purpose of the Study:

To develop a web-based software solution for managing and analyzing flow cytometry data.
To provide tools for efficient data visualization and exploration in high-throughput experiments.
To facilitate data sharing and collaboration for flow cytometry studies.

Main Methods:

Development of WebFlow, a web server-based software package.
Implementation of plate-based annotation for large datasets.
Integration of custom statistics for data normalization and interactive heat maps for visualization.

Main Results:

WebFlow provides accessible, browser-based management and analysis of flow cytometry data.
The software facilitates exploratory data analysis and visualization of multiple parameters.
Plate-based annotation and custom statistics enable efficient data normalization and interpretation.

Conclusions:

WebFlow offers a novel platform for quantitative analysis of flow cytometry data.
The web-based approach simplifies data handling for high-throughput drug screening and disease profiling.
WebFlow enhances data accessibility and collaboration in flow cytometry research.