The University of Southampton
University of Southampton Institutional Repository

Data for "Modeling adult skeletal stem cell response to laser-machined topographies through deep learning"

Data for "Modeling adult skeletal stem cell response to laser-machined topographies through deep learning"
Data for "Modeling adult skeletal stem cell response to laser-machined topographies through deep learning"
Figures in original resolution from "Modeling adult skeletal stem cell response to laser-machined topographies through deep learning". Authors: BENITA S. MACKAY, MATTHEW PRAEGER, JAMES A. GRANT-JACOB, JANOS KANCZLER, ROBERT W. EASON, RICHARD O.C. OREFFO AND BEN MILLS Published: Tissue & Cell Funding: BM was supported by an EPSRC Early Career Fellowship (EP/N03368X/1). Research funding to RO by the Biotechnology and Biological Sciences Research Council (BB/P017711/1) and the UK Regenerative Medicine Platform Acellular / Smart Materials – 3D Architecture (MR/R015651/1) is gratefully acknowledged.
University of Southampton
MacKay, Benita Scout
318d298f-5b38-43d7-b30d-8cd07f69acd4
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Kanczler, Janos
eb8db9ff-a038-475f-9030-48eef2b0559c
Eason, R.W.
e38684c3-d18c-41b9-a4aa-def67283b020
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
MacKay, Benita Scout
318d298f-5b38-43d7-b30d-8cd07f69acd4
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Kanczler, Janos
eb8db9ff-a038-475f-9030-48eef2b0559c
Eason, R.W.
e38684c3-d18c-41b9-a4aa-def67283b020
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0

MacKay, Benita Scout, Praeger, Matthew, Grant-Jacob, James, Kanczler, Janos, Eason, R.W., Oreffo, Richard and Mills, Benjamin (2020) Data for "Modeling adult skeletal stem cell response to laser-machined topographies through deep learning". University of Southampton doi:10.5258/SOTON/D1395 [Dataset]

Record type: Dataset

Abstract

Figures in original resolution from "Modeling adult skeletal stem cell response to laser-machined topographies through deep learning". Authors: BENITA S. MACKAY, MATTHEW PRAEGER, JAMES A. GRANT-JACOB, JANOS KANCZLER, ROBERT W. EASON, RICHARD O.C. OREFFO AND BEN MILLS Published: Tissue & Cell Funding: BM was supported by an EPSRC Early Career Fellowship (EP/N03368X/1). Research funding to RO by the Biotechnology and Biological Sciences Research Council (BB/P017711/1) and the UK Regenerative Medicine Platform Acellular / Smart Materials – 3D Architecture (MR/R015651/1) is gratefully acknowledged.

Image
fig_4.png - Image
Available under License Creative Commons Attribution.
Download (315kB)
Image
fig_5.png - Image
Available under License Creative Commons Attribution.
Download (519kB)
Image
fig_6.png - Image
Available under License Creative Commons Attribution.
Download (514kB)
Image
fig_7.png - Image
Available under License Creative Commons Attribution.
Download (360kB)
Image
fig_8.png - Image
Available under License Creative Commons Attribution.
Download (495kB)
Image
fig_9.png - Image
Available under License Creative Commons Attribution.
Download (452kB)
Image
fig_11.png - Image
Available under License Creative Commons Attribution.
Download (229kB)
Image
fig_10.png - Image
Available under License Creative Commons Attribution.
Download (571kB)
Text
README.txt - Text
Available under License Creative Commons Attribution.
Download (6kB)
Image
fig_1.png - Image
Available under License Creative Commons Attribution.
Download (928kB)
Image
fig_2.png - Image
Available under License Creative Commons Attribution.
Download (318kB)
Image
fig_3.png - Image
Available under License Creative Commons Attribution.
Download (2MB)

Show all 12 downloads.

More information

Published date: 29 May 2020

Identifiers

Local EPrints ID: 443859
URI: http://eprints.soton.ac.uk/id/eprint/443859
PURE UUID: d9901e4c-3015-4311-b609-f2412131fcf3
ORCID for Benita Scout MacKay: ORCID iD orcid.org/0000-0003-2050-8912
ORCID for Matthew Praeger: ORCID iD orcid.org/0000-0002-5814-6155
ORCID for James Grant-Jacob: ORCID iD orcid.org/0000-0002-4270-4247
ORCID for Janos Kanczler: ORCID iD orcid.org/0000-0001-7249-0414
ORCID for R.W. Eason: ORCID iD orcid.org/0000-0001-9704-2204
ORCID for Richard Oreffo: ORCID iD orcid.org/0000-0001-5995-6726
ORCID for Benjamin Mills: ORCID iD orcid.org/0000-0002-1784-1012

Catalogue record

Date deposited: 15 Sep 2020 16:31
Last modified: 06 May 2023 01:45

Export record

Altmetrics

Contributors

Creator: Benita Scout MacKay ORCID iD
Creator: Matthew Praeger ORCID iD
Creator: Janos Kanczler ORCID iD
Creator: R.W. Eason ORCID iD
Creator: Richard Oreffo ORCID iD
Creator: Benjamin Mills 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.

×