Quantitative metabolic imaging using endogenous fluorescence to detect stem cell differentiation.Kaplan, David, 1953-
Quinn, Kyle P.
Sridharan, Gautham V.
Hayden, Rebecca S.
The non-invasive high-resolution spatial mapping of cell metabolism within tissues could provide substantial advancements in assessing the efficacy of stem cell therapy and understanding tissue development. Here, using two-photon excited fluorescence microscopy, we elucidate the relationships among endogenous cell fluorescence, cell redox state, and the differentiation of human mesenchymal stem ce... read more
- Biomedical engineering.
- Stem cells.
- Cell differentiation.
- Tufts University. Department of Biomedical Engineering.
- Permanent URL
- Original publication
- Quinn, K. P., G. V. Sridharan, R. S. Hayden, D. L. Kaplan, K. Lee and I. Georgakoudi (2013). "Quantitative metabolic imaging using endogenous fluorescence to detect stem cell differentiation." Scientific Reports 3. doi: 10.1038/srep03432.