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Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy
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Hardware implementation and calibration of background noise for an integration-based fluorescence lifetime sensing

Day-Uei Li1, Richard Walker, Justin Richardson

  • 1Institute for Integrated Micro and Nano Systems, School of Engineering, The University of Edinburgh, Edinburgh EH9 3JL, Scotland, UK. David.Li@ed.ac.uk

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|April 3, 2009
PubMed
Summary

This study presents a real-time hardware implementation of the Integrated Exponential Model (IEM) fluorescence lifetime imaging microscopy (FLIM) algorithm. The new method offers high flexibility and hardware friendliness for system-on-chip integration.

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Area of Science:

  • Optics and Photonics
  • Biomedical Imaging
  • Microscopy Technology

Background:

  • Fluorescence Lifetime Imaging Microscopy (FLIM) is a powerful technique for biological imaging.
  • Existing FLIM methods face challenges with pixel readout bandwidth and background noise.
  • The Integrated Exponential Model (IEM) offers a novel approach to lifetime extraction.

Purpose of the Study:

  • To propose a real-time hardware implementation of the IEM FLIM algorithm.
  • To address challenges of reduced pixel readout bandwidth and background noise in FLIM.
  • To develop a calibration method suitable for Field-Programmable Gate Array (FPGA) implementation.

Main Methods:

  • Hardware implementation of the IEM FLIM algorithm using nanometer-scale CMOS technology and single photon avalanche diode arrays.
  • Statistical analysis of signal-to-noise ratio and background noise.
  • Comparison with Rapid Lifetime Determination (RLD) and Maximum Likelihood Estimator (MLE) methods.
  • Validation using Monte Carlo simulations and monoexponential decay experimental data.

Main Results:

  • Successful real-time hardware implementation of IEM FLIM.
  • Demonstrated effective handling of reduced pixel readout bandwidth and background noise.
  • Calibration method suitable for FPGA implementation developed.
  • Results show good agreement with theoretical analysis and Monte Carlo simulations.

Conclusions:

  • The proposed hardware implementation of IEM FLIM is highly flexible, wide-ranging, and hardware-friendly.
  • IEM is a strong candidate for system-on-chip integration in advanced microscopy.
  • This advancement enables more efficient and robust FLIM-based measurements.