Quantitative metabolic imaging using endogenous fluorescence to detect stem cell differentiation.

Kaplan, David, 1953-
Quinn, Kyle P.
Sridharan, Gautham V.
Hayden, Rebecca S.
Lee, Kyongbum.
Georgakoudi, Irene.
2013

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

Subjects
Biomedical engineering.
Stem cells.
Cell differentiation.
Biotechnology.
Tufts University. Department of Biomedical Engineering.
Permanent URL
http://hdl.handle.net/10427/009260
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.
ID: tufts:17824
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