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

Structure Control of Oblate Nanoparticles Self-Assembled by ABC Cyclic Terpolymers under Soft Confinement.

Langmuir : the ACS journal of surfaces and colloids·2026

Same author

Optimizing Randomization Ratios in Clinical Trials With Survival Endpoints.

Pharmaceutical statistics·2026

Same author

PSAT1 regulates the proliferation, migration, and EMT of oxidatively damaged lens epithelial cells through activation of the JNK/c-Jun pathway.

Experimental eye research·2026

Same author

Extracellular vesicles of human transformed skin-derived precursors containing miR-221-3p promote hair growth through DKK2-mediated Wnt/<i>β</i>-catenin signaling.

Bioengineering & translational medicine·2026

Same author

PAWR augments anti-RNA viral innate immunity by promoting the PIM2-XBP1s-RIG-I signaling axis.

Nature communications·2026

Same author

Optimal Hypoxia Mimetic Small Molecules for Enhancing Angiogenic Properties of Stem Cells From Human Exfoliated Deciduous Teeth.

International endodontic journal·2026

Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026

Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026

Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026

Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026

Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026

Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 5, 2026

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

Imaging Cells in Flow Cytometer Using Spatial-Temporal Transformation.

Yuanyuan Han¹, Yu-Hwa Lo¹

¹Department of Electrical and Computer Engineering, University of California, San Diego, California 92093, USA.

Scientific Reports

|August 19, 2015

Summary

This summary is machine-generated.

This study introduces a novel method for flow cytometers to capture cell images, overcoming their lack of spatial resolution. This innovation enhances cell analysis by integrating imaging capabilities without compromising high throughput.

More Related Videos

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist

Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist

Published on: April 25, 2018

Related Experiment Videos

Last Updated: Apr 5, 2026

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist

Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist

Published on: April 25, 2018

Area of Science:

Biotechnology
Cell Biology
Optical Engineering

Background:

Flow cytometers excel at high-throughput analysis of single cells based on light scattering and fluorescence.
A significant limitation of current flow cytometry is the absence of cell morphology and spatial resolution data, typically provided by microscopy.
Integrating imaging capabilities into flow cytometry is highly desirable for comprehensive cell characterization.

Purpose of the Study:

To develop a method enabling flow cytometers to acquire cell images, thereby adding spatial resolution to their analytical capabilities.
To achieve this imaging functionality using minimal additional hardware, ensuring compatibility with existing flow cytometry systems.

Main Methods:

A novel spatial-temporal transformation technique was invented, utilizing mathematical algorithms and a spatial filter.
High-quality images of cells were obtained using standard photomultiplier tube (PMT) detectors, avoiding the need for megapixel cameras.
The method was demonstrated with cells flowing at 0.2 m/s in a microfluidic channel.

Main Results:

The developed method successfully provided flow cytometers with cell imaging capabilities.
High-quality images of fast-moving cells were generated using PMT detectors, maintaining high throughput.
The system demonstrated a throughput of approximately 1,000 cells per second.

Conclusions:

The spatial-temporal transformation method effectively equips flow cytometers with essential imaging features.
This approach enhances flow cytometry by adding spatial information without sacrificing throughput or requiring complex new hardware.
The technique represents a significant advancement for comprehensive single-cell analysis.