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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
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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.

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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: 17 Sep 2020 01:49

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