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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

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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 14, 2025

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
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Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

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High-throughput fluorescence lifetime imaging flow cytometry.

Hiroshi Kanno1,2, Kotaro Hiramatsu3,4, Hideharu Mikami3,5

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

Nature Communications
|September 4, 2024
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Summary
This summary is machine-generated.

High-throughput fluorescence lifetime imaging microscopy (FLIM) flow cytometry now exceeds 10,000 cells per second. This breakthrough overcomes speed limitations, enhancing cellular analysis for biomedical research.

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Area of Science:

  • Biomedical research
  • Laboratory medicine
  • Cellular analysis

Background:

  • Flow cytometry is crucial but limited by fluorescence intensity fluctuations.
  • Fluorescence lifetime imaging microscopy (FLIM) offers stable measurements but faces speed challenges for flow cytometry integration.

Purpose of the Study:

  • To overcome speed limitations in FLIM for high-throughput flow cytometry.
  • To enable advanced cellular analysis beyond traditional flow cytometry.

Main Methods:

  • Developed a high-throughput FLIM flow cytometry system exceeding 10,000 cells/sec.
  • Utilized dual intensity-modulated continuous-wave beam arrays with complementary modulation frequencies for fluorophore excitation.
  • Acquired fluorescence lifetime images of rapidly flowing cells.

Main Results:

  • Achieved over 10,000 cells per second for FLIM flow cytometry.
  • Successfully distinguished subpopulations in male rat glioma.
  • Captured dynamic changes in the cell nucleus induced by an anti-cancer drug.

Conclusions:

  • High-throughput FLIM flow cytometry significantly enhances cellular analysis capabilities.
  • Provides detailed insights into cellular functions, interactions, and environments.
  • Overcomes previous speed limitations for broader application in research and medicine.