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Fluorescence Lifetime Macro Imager for Biomedical Applications

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Published on: April 7, 2023

Time-Resolved Synchronous Fluorescence for Biomedical Diagnosis.

Xiaofeng Zhang^1,2, Andrew Fales³, Tuan Vo-Dinh^4,5,6

¹Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA. Steve.Zhang@duke.edu.

Sensors (Basel, Switzerland)

|September 26, 2015

Summary

Synchronous fluorescence (SF) and time-resolved SF (TRSF) methods enhance biomedical diagnostics by improving spectral selectivity and temporal separation of fluorophores. These advanced techniques show promise for improved cancer diagnosis.

Keywords:

cancer diagnosis imaging synchronous fluorescence time-resolved ultrafast

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Area of Science:

Biomedical diagnostics
Fluorescence spectroscopy
Biophotonics

Background:

Conventional fluorescence spectroscopy faces limitations in selectivity and spectral simplification.
Synchronous fluorescence (SF) spectroscopy offers enhanced selectivity by scanning excitation and emission wavelengths simultaneously with a constant interval.
SF has demonstrated utility in detecting biochemical differences in cells and tissues and in imaging dysplastic cells.

Purpose of the Study:

To present recent advances in synchronous fluorescence (SF) methodology for biomedical diagnostics.
To introduce and demonstrate the feasibility of a time-resolved synchronous fluorescence (TRSF) method.
To explore the combined diagnostic potential of SF imaging and TRSF for cancer diagnosis.

Main Methods:

Utilized synchronous fluorescence (SF) methodology, characterized by simultaneous scanning of excitation and emission wavelengths with a fixed interval.
Developed and demonstrated a time-resolved synchronous fluorescence (TRSF) method, integrating fluorophore decay characteristics.
Employed SF imaging for in vitro and in vivo analysis of dysplastic cells and tissues.

Main Results:

SF method simplifies emission spectra and enhances selectivity for biochemical species detection.
TRSF method achieves superior spectro-temporal separation of fluorophores compared to SF spectroscopy alone.
The prototype TRSF system effectively distinguished fluorophores that were spectrally challenging for SF.

Conclusions:

SF and TRSF methods offer significant advancements in fluorescence-based biomedical diagnostics.
TRSF provides enhanced capabilities for spectro-temporal analysis of fluorophores.
Combining SF imaging and TRSF holds strong potential for improving the efficacy of cancer diagnosis.