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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: Jan 8, 2026

Flow Cytometric Analysis of Bimolecular Fluorescence Complementation: A High Throughput Quantitative Method to Study Protein-protein Interaction

Flow Cytometric Analysis of Bimolecular Fluorescence Complementation: A High Throughput Quantitative Method to Study Protein-protein Interaction

Published on: August 15, 2013

Single-pixel imaging flow cytometry for biomedical research.

Hiroshi Kanno^1,2, Zhiying Liu³, Rio Sato^4,5

¹Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan. hkanno@g.ecc.u-tokyo.ac.jp.

Inflammation and Regeneration

|December 12, 2025

Summary

This summary is machine-generated.

Single-pixel imaging flow cytometry enhances high-throughput cell analysis by replacing traditional sensors. This innovative technique offers improved sensitivity and speed for diverse biomedical research, including cancer and COVID-19 studies.

Keywords:

COVID-19 Cancer Coronary artery disease Imaging flow cytometry Single-pixel imaging Thrombosis

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Area of Science:

Biomedical Engineering
Cellular Imaging
High-Throughput Screening

Background:

High-throughput single-cell analysis is crucial in life sciences.
Imaging flow cytometry provides image-based profiling of cell populations.
Conventional 2D sensors limit analytical capabilities.

Purpose of the Study:

To review advances in single-pixel imaging flow cytometry.
To highlight its advantages over traditional methods.
To discuss its applications and future potential.

Main Methods:

Utilizes single-pixel photodetectors instead of 2D image sensors.
Employs various optical configurations for high-throughput imaging.
Focuses on techniques enabling single-cell analysis.

Main Results:

Single-pixel imaging flow cytometry offers enhanced sensitivity, flexibility, and speed.
Demonstrated utility in diverse biomedical applications.
Addresses limitations of conventional imaging flow cytometry.

Conclusions:

Single-pixel imaging flow cytometry is a versatile platform for cell analysis.
It supports both basic and translational biomedical research.
Future developments promise broader applications in life sciences.