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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: Oct 15, 2025

Ovarian Cancer Detection Using Photoacoustic Flow Cytometry

Ovarian Cancer Detection Using Photoacoustic Flow Cytometry

Published on: January 17, 2020

Acoustic Standing Wave Aided Multiparametric Photoacoustic Imaging Flow Cytometry.

Aihui Sun^1,2, Tingting Li², Tian Jin²

¹Harbin Institute of Technology, Harbin 150001, P. R. China.

Analytical Chemistry

|October 29, 2021

Summary

This summary is machine-generated.

A new multiparametric photoacoustic imaging flow cytometry (MPAFC) system uses acoustic standing waves to improve cell detection. This advanced imaging technology precisely identifies and eliminates specific cells, offering a powerful tool for research and clinical applications.

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Last Updated: Oct 15, 2025

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Area of Science:

Biomedical Engineering
Optical Imaging
Cell Biology

Background:

Photoacoustic imaging offers rich contrast for cell studies.
Existing photoacoustic imaging flow cytometry has limitations in imaging quality and cell differentiation.

Purpose of the Study:

To develop a novel multiparametric photoacoustic imaging flow cytometry (MPAFC) system.
To enhance cell identification, manipulation, and elimination capabilities.

Main Methods:

Incorporated acoustic standing waves to improve imaging quality and speed.
Utilized multispectral illumination, cell geometry, photoacoustic amplitude, and acoustic frequency spectrum for multiparametric analysis.
Demonstrated cell elimination and detection at low concentrations.

Main Results:

Achieved >95% elimination efficiency for melanoma and targeted glioma cells.
Successfully imaged and captured melanoma cells at concentrations as low as 100 cells mL⁻¹ in blood.
The system precisely identified multiple cell types in a single scan.

Conclusions:

The novel MPAFC system provides enhanced precision and efficiency for cell detection and manipulation.
This technology holds significant potential for fundamental research and clinical applications in cell analysis and targeted elimination.