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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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Published date: 29 May 2020
Related URLs:
Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about Institute for Life Sciences research

Identifiers

Local EPrints ID: 443859
URI: http://eprints.soton.ac.uk/id/eprint/443859
DOI: doi:10.5258/SOTON/D1395
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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Contributors

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

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