The University of Southampton
University of Southampton Institutional Repository

High-throughput microfluidic arraying and imaging of individual skeletal stem cells from human bone marrow isolates

High-throughput microfluidic arraying and imaging of individual skeletal stem cells from human bone marrow isolates
High-throughput microfluidic arraying and imaging of individual skeletal stem cells from human bone marrow isolates
98
De Grazia, Antonio
ca329577-0e10-424e-a104-af068c935f07
Evans, Nicholas
06a05c97-bfed-4abb-9244-34ec9f4b4b95
de Planque, Maurits R.R.
a1d33d13-f516-44fb-8d2c-c51d18bc21ba
De Grazia, Antonio
ca329577-0e10-424e-a104-af068c935f07
Evans, Nicholas
06a05c97-bfed-4abb-9244-34ec9f4b4b95
de Planque, Maurits R.R.
a1d33d13-f516-44fb-8d2c-c51d18bc21ba

De Grazia, Antonio, Evans, Nicholas and de Planque, Maurits R.R. (2018) High-throughput microfluidic arraying and imaging of individual skeletal stem cells from human bone marrow isolates. In BioMedEng18 Conference Proceedings. p. 98 .

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 6 September 2018
Venue - Dates: BioMedEng18, Imperial College, London, United Kingdom, 2018-09-06 - 2018-09-07

Identifiers

Local EPrints ID: 424212
URI: http://eprints.soton.ac.uk/id/eprint/424212
PURE UUID: b644b930-cb05-48df-9c9c-8490f63158b1
ORCID for Nicholas Evans: ORCID iD orcid.org/0000-0002-3255-4388
ORCID for Maurits R.R. de Planque: ORCID iD orcid.org/0000-0002-8787-0513

Catalogue record

Date deposited: 05 Oct 2018 11:34
Last modified: 03 Nov 2022 02:43

Export record

Contributors

Author: Antonio De Grazia
Author: Nicholas Evans ORCID iD
Author: Maurits R.R. de Planque ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×