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Updated: Apr 17, 2026

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Published on: February 9, 2012

Fast bi-exponential fluorescence lifetime imaging analysis methods.

David Day-Uei Li, Hongqi Yu, Yu Chen

|February 14, 2015

Summary

This summary is machine-generated.

A novel hardware-friendly bi-exponential fluorescence lifetime imaging (FLIM) algorithm offers direct, noniterative lifetime calculations for real-time applications. This method is compatible with time-correlated single-photon counting (TCSPC) systems, showing promise for future imaging technologies.

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Fluorescence Lifetime Macro Imager for Biomedical Applications

Fluorescence Lifetime Macro Imager for Biomedical Applications

Published on: April 7, 2023

Area of Science:

Biophysics
Optical Imaging
Algorithm Development

Background:

Fluorescence Lifetime Imaging (FLIM) is crucial for biological and materials science.
Conventional FLIM algorithms can be computationally intensive and iterative, limiting real-time applications.
Accurate and efficient lifetime determination is essential for advanced imaging techniques.

Purpose of the Study:

To introduce a new hardware-friendly, noniterative bi-exponential FLIM algorithm.
To enable direct calculation of fluorescence lifetimes for real-time processing.
To assess the algorithm's applicability to various time-correlated single-photon counting (TCSPC) systems.

Main Methods:

Development of a noniterative algorithm for bi-exponential decay analysis in FLIM.
Implementation of the algorithm for single-channel and 2D multichannel TCSPC systems.
Validation using synthesized and realistic FLIM datasets.

Main Results:

The proposed algorithm provides direct, noniterative calculation of lifetimes.
It demonstrates suitability for real-time FLIM applications.
Performance comparison with other nonfitting bi-exponential techniques shows competitive results.

Conclusions:

The developed algorithm is efficient and hardware-friendly for bi-exponential FLIM.
It offers a viable alternative to iterative methods for TCSPC systems.
Potential for integration into future massive solid-state TCSPC imagers is highlighted.