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Updated: Jul 16, 2026

Fluorescence Lifetime Macro Imager for Biomedical Applications
Published on: April 7, 2023
Sensitivity characterization of a time-domain fluorescence imager: eXplore Optix
Guobin Ma1, Pascal Gallant, Laura McIntosh
1Advanced Research Technologies, Incorporated, Canada. gma@art.ca
Background signals limit fluorescence imaging sensitivity. This study introduces a signal-to-background ratio (SBR) methodology to quantify imaging device sensitivity, crucial for in vivo applications.
Area of Science:
- Biomedical Optics
- Medical Imaging Technology
- Fluorescence Imaging
Background:
- Background signals in fluorescence imaging reduce detection sensitivity, particularly for in vivo applications.
- Eliminating background noise completely is a persistent challenge across all fluorescence imaging technologies.
Purpose of the Study:
- To develop and present a novel methodology for characterizing fluorescence imaging device sensitivity.
- To incorporate the impact of background signals into sensitivity assessments using the signal-to-background ratio (SBR).
Main Methods:
- Experimental investigation using tissuelike liquid phantoms with Cy5.5 fluorescent inclusions.
- Systematic variation of parameters including tissue optical properties (absorption, scattering), fluorophore concentration, and inclusion location.
- Definition and application of detectable and quantifiable SBR thresholds.
Main Results:
- Established empirical relations between imaging parameters and SBR.
- Characterized the sensitivity performance of the Advanced Research Technologies's eXplore Optix system using Cy5.5.
- Demonstrated the effectiveness of the SBR methodology in accounting for background effects.
Conclusions:
- The proposed SBR methodology provides a robust framework for evaluating fluorescence imaging sensitivity.
- Accurate characterization of imaging systems is essential for reliable in vivo fluorescence imaging.
- This approach enhances the understanding and optimization of fluorescence imaging systems for biomedical applications.
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