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. http://doi.org/10.17035/d.2017.0009096459


Access Rights: Data can be made freely available subject to attribution
Access Method: Click to email a request for this data to opendata@cardiff.ac.uk

Cardiff University Dataset Creators

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

Description

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


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Last updated on 2019-01-08 at 08:46