Technique for real-time tissue characterization based on scanning multispectral fluorescence lifetime spectroscopy
Dinglong Ma1, Julien Bec1, Dimitris Gorpas1
1Department of Biomedical Engineering, University of California, Davis, 451 Health Science Dr., Davis, CA 95616 USA.
Biomedical Optics Express
|March 24, 2015
Summary
We developed a new fluorescence lifetime technique for instant tissue diagnosis using a fiber-optic probe. This real-time method aids in biopsy guidance and surgical margin delineation, improving diagnostic accuracy.
Area of Science:
- Biomedical Optics
- Medical Diagnostics
- Spectroscopy
Background:
- Accurate real-time tissue diagnosis is crucial for effective clinical decision-making.
- Existing methods for tissue analysis can be time-consuming and invasive.
- Fluorescence spectroscopy offers a promising non-invasive approach for tissue characterization.
Purpose of the Study:
- To develop and validate a novel technique for continuous acquisition, processing, and display of fluorescence lifetimes.
- To enable real-time tissue diagnosis using a single handheld or biopsy fiber-optic probe.
- To demonstrate the potential applications in biopsy guidance and surgical margin delineation.
Main Methods:
- Development of a scanning multispectral time-resolved fluorescence spectroscopy (ms-TRFS) system.
- Implementation of a self-adjustable photon detection range to handle dynamic fluorescence intensity changes.
- Integration of a fast algorithm for continuous display of fluorescence lifetime values at up to 15 Hz.
Main Results:
- The ms-TRFS system demonstrated accurate real-time (< 100 ms per data point) display of fluorescence lifetimes.
- The technique successfully discriminated between distinct fluorescence markers and tissue types.
- Proof-of-concept experiments validated its utility in biopsy guidance and surgical margin delineation.
Conclusions:
- The developed ms-TRFS technique provides a novel, real-time solution for tissue diagnosis.
- Its ability to provide continuous fluorescence lifetime data enhances diagnostic capabilities.
- This technology holds significant potential for improving surgical outcomes and diagnostic procedures.


