Dataset for: Quantifying intracortical bone microstructure: a critical appraisal of 2D and 3D approaches for assessing vascular canals and osteocyte lacunae
Dataset for: Quantifying intracortical bone microstructure: a critical appraisal of 2D and 3D approaches for assessing vascular canals and osteocyte lacunae
Data to support article "Quantifying intracortical bone microstructure: a critical appraisal of 2D and 3D approaches for assessing vascular canals and osteocyte lacunae". Journal of Anatomy. Oct 2020. doi: 10.1111/joa.13325
3D
University of Southampton
Williams, Katherine
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Gostling, Neil
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Steer, Joshua
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Oreffo, Richard
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Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Williams, Katherine
a13f30b4-2f53-4a14-ad38-c733923a6450
Gostling, Neil
4840aa40-cb6c-4112-a0b9-694a869523fc
Steer, Joshua
b958f526-9782-4e36-9c49-ad48e8f650ed
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Williams, Katherine, Gostling, Neil, Steer, Joshua, Oreffo, Richard and Schneider, Philipp
(2020)
Dataset for: Quantifying intracortical bone microstructure: a critical appraisal of 2D and 3D approaches for assessing vascular canals and osteocyte lacunae.
University of Southampton
doi:10.5258/SOTON/D1198
[Dataset]
Abstract
Data to support article "Quantifying intracortical bone microstructure: a critical appraisal of 2D and 3D approaches for assessing vascular canals and osteocyte lacunae". Journal of Anatomy. Oct 2020. doi: 10.1111/joa.13325
Text
README_Williams.docx
- Text
Archive
TechnicalPaperData.zip
- Dataset
More information
Published date: September 2020
Keywords:
3D
Identifiers
Local EPrints ID: 449668
URI: http://eprints.soton.ac.uk/id/eprint/449668
PURE UUID: 1951141b-4eec-4a93-a1e3-7ec1c20e77c9
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Date deposited: 10 Jun 2021 16:31
Last modified: 06 May 2023 01:59
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