Research Data Leeds Repository

Biological, mechanical and structural data associated with the decellularisation of human bone tibial plateau and femoral head trabecular bone

Norbertczak, Halina (2021) Biological, mechanical and structural data associated with the decellularisation of human bone tibial plateau and femoral head trabecular bone. University of Leeds. [Dataset] https://doi.org/10.5518/1022

This item is part of the The Institute of Medical and Biological Engineering Knee Dataset collection.

Dataset description

Supplementary data associated with the research paper: Decellularised human bone allograft from different anatomical sites as a basis for functionally stratified repair material for bone defects. Dataset comprised of histological images, DNA assay, biomechanical and structural data for human trabecular bone from the tibial plateau and femoral head. Data provided for cellular and decellularised samples.

Keywords: Decellularisation, trabecular bone, tissue scaffolds, femoral head, tibial plateau
Subjects: H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H161 - Biomaterials
H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H162 - Biomechanics (including fluid & solid mechanics)
H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H165 - Tissue engineering & regenerative medicine
Divisions: Faculty of Biological Sciences > Institute of Medical and Biological Engineering
Faculty of Engineering > Institute of Medical and Biological Engineering
Faculty of Engineering > School of Mechanical Engineering > Institute of Medical and Biological Engineering
Related resources:
LocationType
https://doi.org/10.1016/j.jmbbm.2021.104965Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 08 Nov 2021 15:56
URI: http://archive.researchdata.leeds.ac.uk/id/eprint/902

Files

Data

Research Data Leeds Repository is powered by EPrints
Copyright © 2022 University of Leeds