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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.
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Related Experiment Video

Updated: Nov 4, 2025

Ovarian Cancer Detection Using Photoacoustic Flow Cytometry

Ovarian Cancer Detection Using Photoacoustic Flow Cytometry

Published on: January 17, 2020

On-Chip Multicolor Photoacoustic Imaging Flow Cytometry.

Tian Jin¹, Chen Zhang¹, Fei Liu¹

¹Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.

Analytical Chemistry

|May 28, 2021

Summary

We developed a new on-chip photoacoustic imaging flow cytometry (PAIFC) device for ultrafast cell analysis. This technology can detect melanoma cells in whole blood without preprocessing, offering high sensitivity and specificity for cell-on-chip applications.

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Last Updated: Nov 4, 2025

Ovarian Cancer Detection Using Photoacoustic Flow Cytometry

Ovarian Cancer Detection Using Photoacoustic Flow Cytometry

Published on: January 17, 2020

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

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Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Area of Science:

Biomedical Engineering
Cell Biology
Microfluidics

Background:

On-chip imaging flow cytometry is crucial for analyzing cells in various biological fields.
Optical methods face challenges with red blood cell interference in whole blood samples.
Preprocessing is often required for optical flow cytometry with whole blood.

Purpose of the Study:

To develop an on-chip photoacoustic imaging flow cytometry (PAIFC) system.
To enable high-speed, high-resolution cell imaging without red blood cell interference.
To detect and image cells, including melanoma, in whole blood samples.

Main Methods:

Integration of multicolor high-speed photoacoustic microscopy with microfluidics.
Utilization of a micro-optical scanner for miniaturization and ultrafast imaging (1758 Hz frame rate).
Achieved lateral resolution of 2.2 μm and axial resolution of 33 μm.

Main Results:

PAIFC successfully differentiated cells labeled with external contrast agents.
Melanoma cells were detected in whole blood using endogenous contrast.
Imaging of melanoma cells in blood samples from tumor-bearing mice was demonstrated.

Conclusions:

The developed PAIFC system offers a miniaturized and ultrafast solution for cell imaging.
PAIFC shows high sensitivity and specificity for detecting cells in whole blood.
This technology holds significant potential for future cell-on-chip applications.