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Related Experiment Video

Updated: Jul 5, 2026

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
09:45

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Published on: February 9, 2012

On-chip, time-correlated, fluorescence lifetime extraction algorithms and error analysis.

Day-Uei Li1, Eleanor Bonnist, David Renshaw

  • 1Institute for Micro and Nano Systems, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, Scotland, UK. David.Li@ed.ac.uk

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|May 3, 2008
PubMed
Summary

A novel hardware-only fluorescence-lifetime-imaging microscopy (FLIM) enables faster, on-chip lifetime analysis. This new method offers direct calculation, improving real-time applications like clinical diagnosis.

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Area of Science:

  • Biophotonics and advanced microscopy techniques.
  • Development of novel computational and hardware solutions for biological imaging.

Background:

  • Traditional fluorescence-lifetime-imaging microscopy (FLIM) analysis often relies on complex software algorithms.
  • Existing methods like iterative least-squares and maximum-likelihood estimation (MLE) can be computationally intensive, limiting real-time applications.

Purpose of the Study:

  • To propose a new, simple, hardware-only approach for on-chip fluorescence lifetime extraction.
  • To develop a faster FLIM analysis algorithm suitable for real-time applications, including clinical diagnosis.
  • To perform error analysis considering timing jitter and optimize parameters for time-to-digital converters.

Main Methods:

  • Implementation of a hardware-only FLIM system for direct lifetime calculation using on-chip photon count data.
  • Deduction of signal-to-noise ratio based on statistical theory and comparison with Monte Carlo simulations.
  • Development of a multi-exponential, pipelined fluorescence lifetime method.

Main Results:

  • The proposed hardware-only FLIM method demonstrated good agreement with Monte Carlo simulations.
  • The algorithm provides direct calculation of fluorescence lifetime, significantly faster than conventional software-based methods.
  • Error analysis was performed, and optimized parameters for time-to-digital converters were determined.

Conclusions:

  • The developed hardware-only FLIM approach offers a significant speed improvement for fluorescence lifetime analysis.
  • This method is well-suited for real-time applications, particularly in clinical diagnostics.
  • The study validates the proposed algorithms through experimental data, including multi-exponential decays.