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Related Experiment Video

Updated: Jun 11, 2025

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
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A Novel Technique for Fluorescence Lifetime Tomography.

Navid Ibtehaj Nizam1, Vikas Pandey1, Ismail Erbas1

  • 1Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, 12180 USA.

Biorxiv : the Preprint Server for Biology
|September 30, 2024
PubMed
Summary

A new deep learning method, AUTO-FLI, enables 3D fluorescence lifetime imaging in deep tissues. This breakthrough overcomes scattering challenges for enhanced molecular imaging in diseased tissues.

Keywords:
Fluorescence imagingdeep learningdiffuse opticslifetimephantomstomography

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Deep Learning Applications

Background:

  • Fluorescence lifetime imaging (FLI) offers quantitative insights into the molecular environment of diseased tissues.
  • Current 2D FLI is mature, but 3D imaging in deep, scattering tissues remains a significant challenge.
  • Scattering in biological tissues severely limits the depth and resolution of traditional FLI.

Purpose of the Study:

  • To develop a deep learning (DL) approach for accurate 3D fluorescence lifetime and intensity reconstructions in deep tissues.
  • To overcome the limitations imposed by scattering in deep tissue imaging.
  • To enable mesoscopic and macroscopic scale molecular imaging using FLI.

Main Methods:

  • A novel deep neural network, AUTO-FLI, was developed for 3D reconstruction.
  • An *in silico* scheme was implemented for accurate generation of fluorescence lifetime data.
  • The DL model was rigorously validated using both simulated data and experimental phantoms.

Main Results:

  • AUTO-FLI successfully performed 3D intensity and quantitative lifetime reconstructions in highly scattering media.
  • The method demonstrated accurate quantitative estimations of both intensity and lifetime distributions.
  • Validation confirmed the model's reliability in challenging deep tissue environments.

Conclusions:

  • AUTO-FLI significantly advances 3D fluorescence lifetime imaging capabilities in deep tissues.
  • The developed DL approach overcomes scattering limitations, paving the way for mesoscopic and macroscopic FLI.
  • This technology holds substantial potential for molecular imaging of diseased tissues at greater depths and scales.