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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: Aug 9, 2025

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

Label-free multiphoton imaging flow cytometry.

Ryo Kinegawa¹, Julia Gala de Pablo¹, Yi Wang²

¹Department of Chemistry, The University of Tokyo, Tokyo, Japan.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology

|February 17, 2023

Summary

This summary is machine-generated.

A new multiphoton imaging flow cytometry visualizes starch and collagen in live cells without labels. This high-throughput method advances biological studies and cell strain optimization.

Keywords:

Muriella imaging flow cytometry microalgae nonlinear optics second harmonic generation

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Last Updated: Aug 9, 2025

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

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Published on: August 15, 2013

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Published on: January 9, 2019

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Published on: October 4, 2018

Area of Science:

Biotechnology
Cell Biology
Microscopy

Background:

Conventional fluorescence-based imaging flow cytometry relies on fluorescent labeling, posing technical challenges.
Existing label-free methods like optofluidic time-stretch quantitative phase imaging and stimulated Raman scattering (SRS) imaging cannot probe molecules such as starch and collagen.

Purpose of the Study:

To introduce a novel label-free imaging flow cytometry technique, multiphoton imaging flow cytometry, for visualizing starch and collagen in live cells.
To demonstrate the high-throughput capability of this new method for biological research.

Main Methods:

Developed a multiphoton imaging flow cytometer utilizing nonlinear optical imaging with four-wave mixing (FWM) and second-harmonic generation (SHG) for contrast.
Integrated a microfluidic chip with an acoustic focuser, a laser scanning SHG-FWM microscope, and high-speed image acquisition.
Achieved image acquisition of 100x100 pixels with 500nm spatial resolution and a 50μm x 50μm field of view.

Main Results:

The system achieves a high event rate of 4-5 events/second, corresponding to a throughput of 560-700 kb/s.
Successfully visualized starch and collagen in live cells, including starch distribution dynamics in Chromochloris zofingiensis.
Demonstrated the utility for statistical high-content analysis of biological functions.

Conclusions:

Multiphoton imaging flow cytometry offers a powerful label-free approach for visualizing key biomolecules like starch and collagen.
This technique enables high-throughput, high-content analysis crucial for understanding cellular functions and optimizing cell strains for industrial applications.