Research Data Leeds Repository

Data to support the research article 'Rapid cell separation with minimal manipulation for autologous cell therapies'

Wood, Christopher and Smith, Alban and O'Rorke, Richard and Kale, A and Tomlinson, Matthew and Rimsa, Roberts and Kirkham, Jennifer and Davies, A Giles and Walti, Christoph (2017) Data to support the research article 'Rapid cell separation with minimal manipulation for autologous cell therapies'. University of Leeds. [Dataset] https://doi.org/10.5518/75

Dataset description

Data set containing raw data used to calculate the alignment statistics for yeast cells (including false positives and false negatives), alongside flow-cytometry measurements of FSC/SSC for DPSCs and all control measurements, and quantitative alkaline phosphatase assay statistics for DPSCs.

Subjects:

H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H163 - Bioelectronics & bioelectricity

Divisions:

Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering
Faculty of Medicine and Health > The Leeds Dental Institute

Related resources:

Location	Type
http://eprints.whiterose.ac.uk/110177/	Publication
https://doi.org/10.1038/srep41872	Publication

License:

Creative Commons Attribution 4.0 International (CC BY 4.0)

Date deposited:

17 Jan 2017 16:21

URI:

http://archive.researchdata.leeds.ac.uk/id/eprint/107

Additional details

Creators:

Creators	ORCID	Other ID	Email	Primary affiliation	Primary affiliation ID	Primary affiliation ID type	Secondary affiliation	Secondary affiliation ID	Secondary affiliation ID type
Wood, Christopher	https://orcid.org/0000-0003-1679-5410
Smith, Alban
O'Rorke, Richard
Kale, A
Tomlinson, Matthew
Rimsa, Roberts	https://orcid.org/0000-0002-8915-5361
Kirkham, Jennifer
Davies, A Giles	https://orcid.org/0000-0002-1987-4846
Walti, Christoph	https://orcid.org/0000-0001-9286-5359

Type of data:

Dataset

Research funders:

EPSRC, WELMEC, Wellcome Trust

Grant numbers:

EP/J500124, WT088908/Z/09/Z, WT 201058/Z/16/Z

Publication date:

2017

Resource language:

English

Metadata language:

English

Research project title:

Centre for Doctoral Training in Molecular-scale Engineering, Centre of Excellence in Medical Engineering, High-throughput cell separation in physiologically-relevant media using remote, surface-acoustic-wave-induced dielectrophoresis for autologous cell therapies

Publisher:

University of Leeds

Contact Email Address:

c.d.wood@leeds.ac.uk

Last Modified:

06 Feb 2017 18:38