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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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Updated: Jun 19, 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

Development of a diffraction imaging flow cytometer.

Kenneth M Jacobs¹, Jun Q Lu, Xin-Hua Hu

¹Department of Physics, East Carolina University, Greenville, North Carolina 27858, USA.

|October 2, 2009

Summary

This summary is machine-generated.

This study introduces a flow chamber for clear particle diffraction imaging, enabling accurate 3D morphology analysis. High-throughput diffraction imaging flow cytometry shows potential for cell feature extraction.

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Area of Science:

Optics and Photonics
Biophysics
Fluid Dynamics

Background:

Diffraction imaging captures light scattering patterns, correlating with particle 3D morphology.
Acquiring clear diffraction images requires controlled particle manipulation and flow conditions.

Purpose of the Study:

To develop and validate a novel flow chamber for high-quality diffraction image acquisition.
To demonstrate the potential of diffraction imaging flow cytometry for 3D morphological analysis.

Main Methods:

A jet-in-fluid flow chamber design was implemented for laminar flow conditions.
Polystyrene spheres of varying diameters were analyzed using diffraction imaging.
Mie theory was used for theoretical correlation of diffraction patterns.
Fast Fourier Transform (FFT) analysis was applied to extract particle dimensions.

Main Results:

Clear diffraction images were successfully acquired using the developed flow chamber.
Experimental diffraction images showed high correlation with Mie theory predictions.
FFT analysis accurately extracted sphere diameter values from the diffraction images.

Conclusions:

The jet-in-fluid flow chamber facilitates high-throughput acquisition of clear diffraction images.
Diffraction imaging flow cytometry is a promising technique for quantitative 3D morphological analysis.
This method holds significant potential for biological cell characterization.