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

Name: Data for "Modeling adult skeletal stem cell response to laser-machined topographies through deep learning"
Creator: University of Southampton
Published: 2020-09-16T14:11:01+08:00

DataCite Commons2020-09-16 更新2025-04-17 收录

干细胞行为预测

生物材料设计

数据链接：

http://eprints.soton.ac.uk/id/eprint/443859 数据链接链接失效反馈

官方服务：

资源简介：

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.

提供机构：

University of Southampton

创建时间：

2020-09-16