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Related Experiment Video

Updated: Jun 23, 2026

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
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Published on: February 9, 2012

In vivo fluorescence lifetime tomography.

Ralph E Nothdurft1, Sachin V Patwardhan, Walter Akers

  • 1Washington University School of Medicine, Department of Radiology, Mallinckrodt Institute of Radiology, St. Louis, Missouri 63110, USA.

Journal of Biomedical Optics
|May 2, 2009
PubMed
Summary

We developed a fluorescence lifetime diffuse optical tomography (FLT-DOT) system for in vivo preclinical imaging. This novel system precisely images molecular events and probe accumulation in tumors, advancing functional optical imaging capabilities.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Molecular Imaging

Background:

  • Fluorescence lifetime (FLT) imaging provides functional information and quantifies molecular events.
  • Diffuse optical tomography (DOT) is a valuable tool for in vivo imaging.

Purpose of the Study:

  • To develop and validate a fluorescence lifetime diffuse optical tomography (FLT-DOT) system for in vivo preclinical imaging.
  • To demonstrate the system's capability for precise lifetime measurements and imaging of molecular processes.

Main Methods:

  • Utilized a time-resolved intensified charge coupled device (ICCD) system for data acquisition.
  • Converted time-domain data to the frequency domain for simultaneous reconstruction of yield and lifetime.
  • Employed differential phase measurements for high-precision lifetime imaging.

Main Results:

  • Achieved high-precision (+/-5 ps) DOT imaging of short fluorescence lifetimes (from 350 ps).
  • Demonstrated FLT-DOT feasibility in phantoms and in vivo with subcutaneous implants.
  • Successfully imaged the accumulation of a targeted NIR fluorescent peptide probe in a mouse tumor model.

Conclusions:

  • The developed FLT-DOT system offers efficient, fast, and flexible in vivo preclinical imaging.
  • FLT-DOT enables precise quantification of molecular events and functional physiological processes.
  • This technology holds significant potential for advancing diagnostic and prognostic applications in research settings.