The University of Southampton
University of Southampton Institutional Repository

Imaging of microfluidically arrayed immunolabelled bone marrow cells

Imaging of microfluidically arrayed immunolabelled bone marrow cells
Imaging of microfluidically arrayed immunolabelled bone marrow cells
De Grazia, Antonio
ca329577-0e10-424e-a104-af068c935f07
Evans, Nicholas
06a05c97-bfed-4abb-9244-34ec9f4b4b95
De Planque, Maurits
a1d33d13-f516-44fb-8d2c-c51d18bc21ba
De Grazia, Antonio
ca329577-0e10-424e-a104-af068c935f07
Evans, Nicholas
06a05c97-bfed-4abb-9244-34ec9f4b4b95
De Planque, Maurits
a1d33d13-f516-44fb-8d2c-c51d18bc21ba

De Grazia, Antonio, Evans, Nicholas and De Planque, Maurits (2016) Imaging of microfluidically arrayed immunolabelled bone marrow cells. Future Investigators of Regenerative Medicine: The Life Cycle of Cell Therapies, , Girona, Spain. 26 - 29 Sep 2016.

Record type: Conference or Workshop Item (Poster)

This record has no associated files available for download.

More information

Published date: 26 September 2016
Venue - Dates: Future Investigators of Regenerative Medicine: The Life Cycle of Cell Therapies, , Girona, Spain, 2016-09-26 - 2016-09-29
Organisations: Electronics & Computer Science, EEE, Human Development & Health

Identifiers

Local EPrints ID: 408365
URI: http://eprints.soton.ac.uk/id/eprint/408365
PURE UUID: 70d6d435-0155-467d-84d8-04dfdaacccc7
ORCID for Nicholas Evans: ORCID iD orcid.org/0000-0002-3255-4388
ORCID for Maurits De Planque: ORCID iD orcid.org/0000-0002-8787-0513

Catalogue record

Date deposited: 19 May 2017 04:04
Last modified: 03 Nov 2022 02:43

Export record

Contributors

Author: Antonio De Grazia
Author: Nicholas Evans ORCID iD
Author: Maurits 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.

×