TY - JOUR
T1 - Quantitative, label-free characterization of stem cell differentiation at the single-cell level by broadband coherent anti-stokes raman scattering microscopy
AU - Lee, Young Jong
AU - Vega, Sebastián L.
AU - Patel, Parth J.
AU - Aamer, Khaled A.
AU - Moghe, Prabhas V.
AU - Cicerone, Marcus T.
PY - 2014/7/1
Y1 - 2014/7/1
N2 - We use broadband coherent anti-Stokes Raman scattering (BCARS) microscopy to characterize lineage commitment of individual human mesenchymal stem cells cultured in adipogenic, osteogenic, and basal culture media. We treat hyperspectral images obtained by BCARS in two independent ways, obtaining robust metrics for differentiation. In one approach, pixel counts corresponding to functional markers, lipids, and minerals, are used to classify individual cells as belonging to one of the three lineage groups: adipocytes, osteoblasts, and undifferentiated stem cells. In the second approach, we use multivariate analysis of Raman spectra averaged exclusively over cytosol regions of individual cells to classify the cells into the same three groups, with consistent results. The exceptionally high speed of spectral imaging with BCARS allows us to chemically map a large number of cells with high spatial resolution, revealing not only the phenotype of individual cells, but also population heterogeneity in the degree of phenotype commitment.
AB - We use broadband coherent anti-Stokes Raman scattering (BCARS) microscopy to characterize lineage commitment of individual human mesenchymal stem cells cultured in adipogenic, osteogenic, and basal culture media. We treat hyperspectral images obtained by BCARS in two independent ways, obtaining robust metrics for differentiation. In one approach, pixel counts corresponding to functional markers, lipids, and minerals, are used to classify individual cells as belonging to one of the three lineage groups: adipocytes, osteoblasts, and undifferentiated stem cells. In the second approach, we use multivariate analysis of Raman spectra averaged exclusively over cytosol regions of individual cells to classify the cells into the same three groups, with consistent results. The exceptionally high speed of spectral imaging with BCARS allows us to chemically map a large number of cells with high spatial resolution, revealing not only the phenotype of individual cells, but also population heterogeneity in the degree of phenotype commitment.
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U2 - 10.1089/ten.tec.2013.0472
DO - 10.1089/ten.tec.2013.0472
M3 - Article
C2 - 24224876
AN - SCOPUS:84903778853
SN - 1937-3384
VL - 20
SP - 562
EP - 569
JO - Tissue Engineering - Part C: Methods
JF - Tissue Engineering - Part C: Methods
IS - 7
ER -