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Quantitative, label-free characterization of stem cell differentiation at the single-cell level by broadband coherent anti-Stokes Raman scattering microscopy

Published

Author(s)

Marcus T. Cicerone, Young J. Lee, Khaled A. Aamer, Prabhas V. Moghe, Sebastian L. Vega, Parth J. Patel

Abstract

We use broadband coherent anti-Stokes Raman scattering (BCARS) microscopy to characterize lineage commitment of individual human mesenchymal stem cells (hMSCs) 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 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 phenotype of individual cells, but also population heterogeneity in the degree of phenotype commitment.
Citation
Tissue Engineering
Volume
20
Issue
6

Keywords

Coherent Raman Imaging, Cell differentiation

Citation

Cicerone, M. , Lee, Y. , Aamer, K. , Moghe, P. , Vega, S. and Patel, P. (2014), Quantitative, label-free characterization of stem cell differentiation at the single-cell level by broadband coherent anti-Stokes Raman scattering microscopy, Tissue Engineering, [online], https://doi.org/10.1089/ten.TEC.2013.0472 (Accessed February 28, 2024)
Created December 31, 2014, Updated November 10, 2018