Title: Label-free quantitative chemical imaging and classification analysis of adipogenesis in mouse embryonic stem cells
Citation
Masia F, Langbein WW, Borri P (2017). Label-free quantitative chemical imaging and classification analysis of adipogenesis in mouse embryonic stem cells. Cardiff University. https://doi.org/10.17035/d.2017.0009096459
Access Rights: Creative Commons Attribution 4.0 International
Access Method: Click to email a request for this data to opendata@cardiff.ac.uk
Dataset Details
Publisher: Cardiff University
Date (year) of data becoming publicly available: 2017
Data format: .tif, .dat
Software Required: ImageJ
Estimated total storage size of dataset: Less than 1 terabyte
Number of Files In Dataset: 10
DOI : 10.17035/d.2017.0009096459
DOI URL: http://doi.org/10.17035/d.2017.0009096459
The data contains coherent anti-Stokes Raman scattering hyperspectral images of differentiated murine embryonic stem cells and their analysis in terms of concentrations of chemical components and their spectra using the hyperspectral image analysis (HIA) software developed by ourselves. Chemical decomposition into protein, lipid and aqueous components combined with a statistical analysis of their spatial patterns enabled us to extract a set parameters that were used for classification analysis. Additionally the correlation between the analysed CARS images and fluorescence images showing the distribution of FAB protein 4 is also reported. Finally the co-localization between the lipid and protein components is discussed. Research results based upon these data are published at https://doi.org/10.1002/jbio.201700219
Description
Research Areas
Related Projects
- Multiphoton microscopy of lipid-protein dynamics in living cells using correlative coherent antistokes raman scattering and two-photon fluorescence (01/06/2010 - 31/05/2013)
- Probing the mechanical control of stem cell fate through the development of novel, non-invasive imaging technologies (01/08/2010 - 14/03/2014)
