Teitl: Label-free quantitative chemical imaging and classification analysis of adipogenesis in mouse embryonic stem cells
Dyfyniad
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
Hawliau Mynediad: Creative Commons Attribution 4.0 International
Dull Mynediad: I anfon cais i gael y data hwn, ebostiwch opendata@caerdydd.ac.uk
Manylion y Set Ddata
Cyhoeddwr: Cardiff University
Dyddiad (y flwyddyn) pryd y daeth y data ar gael i'r cyhoedd: 2017
Fformat y data: .tif, .dat
Meddalwedd ofynnol: ImageJ
Amcangyfrif o gyfanswm maint storio'r set ddata: Llai nag 1 terabeit
Nifer y ffeiliau yn y set ddata: 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
Disgrifiad
Meysydd Ymchwil
Prosiectau Cysylltiedig
- 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)