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Related Experiment Videos

Fluorescence-lifetime-based tomography for turbid media.

Anand T N Kumar1, Jesse Skoch, Brian J Bacskai

  • 1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, USA. ankumar@nmr.mgh.harvard.edu

Optics Letters
|January 5, 2006
PubMed
Summary

We developed a new algorithm for fluorescence lifetime analysis to accurately map fluorophore distribution in thick biological tissues. This method enhances diagnostic imaging by leveraging fluorescence lifetime as a sensitive molecular probe.

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Area of Science:

  • Biomedical Optics
  • Fluorescence Spectroscopy
  • Medical Imaging

Background:

  • Accurate localization of fluorophores in thick biological tissues is crucial for diagnostic fluorescence imaging.
  • Existing methods face challenges due to light scattering and absorption in turbid media.
  • Fluorescence lifetime is a sensitive intrinsic property reflecting the local molecular environment.

Purpose of the Study:

  • To develop a novel algorithm for recovering in vivo fluorophore distributions.
  • To utilize asymptotic lifetime analysis of time-domain fluorescence measurements.
  • To demonstrate the method's efficacy in localizing fluorophores with distinct lifetimes in thick tissues.

Main Methods:

  • Derivation of a novel algorithm based on asymptotic lifetime analysis.

Related Experiment Videos

  • Time-domain fluorescence measurements.
  • Experimental validation in turbid biological tissue models.

    • Main Results:

    • Successful recovery of in vivo fluorophore distributions.
    • Experimental demonstration of improved localization for fluorophores with distinct lifetimes.
    • Algorithm shows applicability for several-centimeter-thick biological tissues.

    Conclusions:

    • The developed algorithm offers a robust approach for fluorescence lifetime-based imaging.
    • This method enhances diagnostic capabilities by providing sensitive molecular-level information.
    • The technique is well-suited for in vivo applications in complex biological tissues.