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Updated: Jun 29, 2025

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Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
Published on: January 18, 2017
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Fluorescence Lifetime Measurements and Analyses: Protocols Using Flow Cytometry and High-Throughput Microscopy
Jessica P Houston1, Samantha Valentino2, Aric Bitton3
1Department of Chemical & Materials Engineering, New Mexico State University, Las Cruces, NM, USA. jph@nmsu.edu.
Methods in Molecular Biology (Clifton, N.J.)
|March 25, 2024
Summary
Fluorescence lifetime measurements offer a powerful, quantitative parameter for cell analysis. This technique enhances cell counting, sorting, and imaging through advanced time-resolved flow cytometry and machine learning applications.
Area of Science:
- Biophysics
- Cell Biology
- Analytical Chemistry
Background:
- Fluorescence decay timing is a well-established parameter in cell analysis.
- Traditional cytometry methods benefit from incorporating fluorescence lifetime measurements.
- Understanding fluorescence decay kinetics is crucial for advanced cytometric applications.
Purpose of the Study:
- To provide an overview of fluorescence lifetime measurement techniques in cytometry.
- To explore how fluorescence lifetime enhances existing cytometry protocols.
- To review modern high-throughput lifetime analysis methods.
Main Methods:
- Review of theoretical background and history of time-resolved flow cytometry.
- Analysis of applications benefiting from fluorescence lifetime as a photophysical trait.
- Discussion of modern high-throughput scanning techniques including high-speed microscopy and machine learning.
Main Results:
- Fluorescence lifetime provides quantitative, informative data for cell analysis.
- Time-resolved flow cytometry has evolved significantly for enhanced cellular insights.
- Modern techniques enable high-throughput fluorescence lifetime scanning.
Conclusions:
- Fluorescence lifetime measurement is a valuable cytometric parameter.
- Advanced techniques like machine learning are revolutionizing lifetime analysis.
- This approach offers significant potential for future cell biology research.
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