Visualization of Stem Cell Niche by Fluorescence Lifetime Imaging Microscopy
Irina A Okkelman1, Jens Puschhof2,3, Dmitri B Papkovsky1
1School of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Methods in Molecular Biology (Clifton, N.J.)
|July 25, 2020
Summary
Fluorescence lifetime imaging microscopy (FLIM) offers live, quantitative analysis for tissue engineering. This technique tracks stem cells and monitors their functions within intestinal organoids, advancing regenerative medicine research.
Area of Science:
- Biomedical Engineering
- Regenerative Medicine
- Bioimaging
Background:
- Fluorescence lifetime imaging microscopy (FLIM) is an advanced bioimaging technique.
- It enables live, quantitative, multiparametric analyses crucial for tissue engineering and regenerative medicine.
- Stem cell-derived intestinal organoids are valuable models for studying gut biology.
Purpose of the Study:
- To detail experimental protocols for applying FLIM to live intestinal organoids.
- To demonstrate FLIM's capability in tracing stem cells and monitoring their proliferation, metabolic activity, and oxygenation.
- To provide anticipated data for FLIM imaging of intestinal organoids.
Main Methods:
- Utilized one- and two-photon excited FLIM and phosphorescence lifetime imaging microscopy (PLIM).
- Employed live Matrigel-grown intestinal organoids from primary adult stem cells, crypts, and Lgr5-GFP mice.
- Applied spectral and time-domain separation of dyes, probes, and assays for multiparameter imaging.
Main Results:
- Demonstrated FLIM's compatibility with live intestinal organoids.
- Showcased the ability to label cell proliferation and its colocalization with the stem cell niche.
- Presented measurements of local oxygenation and autofluorescence within organoids.
Conclusions:
- FLIM is a powerful tool for live, quantitative multiparametric analysis in intestinal organoid research.
- This approach facilitates stem cell tracing and functional monitoring in regenerative medicine.
- The summarized protocols and data provide a foundation for future FLIM applications in tissue engineering.


