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Updated: Mar 27, 2026

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Fluorescence Lifetime Macro Imager for Biomedical Applications
Published on: April 7, 2023
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Fluorescence Lifetime Imaging of Apoptosis
Annie Xiao1, Anne E Gibbons2, Kathryn E Luker2
1Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
Summary
This study introduces fluorescence lifetime imaging microscopy (FLIM) with phasor analysis to measure apoptosis in breast cancer. This advanced imaging method tracks treatment effectiveness in 2D cultures, 3D spheroids, and living mice.
Area of Science:
- Biomedical Imaging
- Cancer Research
- Cell Biology
Background:
- Genetically-encoded fluorescence resonance energy transfer (FRET) reporters are valuable for analyzing cell signaling in 2D cultures.
- Applying FRET reporters to 3D environments is challenging due to light absorption complexities.
- Quantifying apoptosis in complex 3D settings requires advanced imaging techniques.
Purpose of the Study:
- To establish fluorescence lifetime imaging microscopy (FLIM) with phasor analysis as a method for quantifying apoptosis in breast cancer.
- To assess the efficacy of a combined metabolic therapy targeting glycolysis and glutamine pathways.
- To investigate the role of bone marrow stromal cells in mediating chemotherapy resistance.
Main Methods:
- Utilized genetically-encoded FRET reporters in breast cancer cells.
- Employed fluorescence lifetime imaging microscopy (FLIM) with phasor analysis for real-time apoptosis quantification.
- Applied the imaging technique across 2D cultures, 3D spheroids, and orthotopic xenograft mouse models.
Main Results:
- FLIM with phasor analysis successfully quantified apoptosis in diverse 3D environments, including living mice.
- Combined metabolic therapy significantly reduced breast cancer metabolism and induced apoptosis.
- Identified distinct bone marrow stromal cell subpopulations influencing breast cancer cell chemotherapy resistance.
Conclusions:
- FLIM with phasor analysis is a robust tool for real-time apoptosis assessment in cell-based assays and in vivo models.
- The study demonstrates the potential of combined metabolic therapy for breast cancer treatment.
- Revealed heterogeneity in treatment response attributed to bone marrow stromal cell interactions.

