University of Oulu

Sarin, J. K., Torniainen, J., Prakash, M., Rieppo, L., Afara, I. O., Töyräs, J. (2019) Dataset on equine cartilage near infrared spectra, composition, and functional properties. Scientific Data, 6; 164. doi: 10.1038/s41597-019-0170y

Dataset on equine cartilage near infrared spectra, composition, and functional properties

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Author: Sarin, Jaakko K.1,2; Torniainen, Jari1,2; Prakash, Mithilesh1,2,3;
Organizations: 1Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
2Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
3A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finlan
4Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
5School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.2 MB)
Persistent link:
Language: English
Published: Springer Nature, 2019
Publish Date: 2019-09-20


Near infrared (NIR) spectroscopy is a well-established technique that is widely employed in agriculture, chemometrics, and pharmaceutical engineering. Recently, the technique has shown potential in clinical orthopaedic applications, for example, assisting in the diagnosis of various knee-related diseases (e.g., osteoarthritis) and their pathologies. NIR spectroscopy (NIRS) could be especially useful for determining the integrity and condition of articular cartilage, as the current arthroscopic diagnostics is subjective and unreliable. In this work, we present an extensive dataset of NIRS measurements for evaluating the condition, mechanical properties, structure, and composition of equine articular cartilage. The dataset contains NIRS measurements from 869 different locations across the articular surfaces of five equine fetlock joints. A comprehensive library of reference values for each measurement location is also provided, including results from a mechanical indentation testing, digital densitometry imaging, polarized light microscopy, and Fourier transform infrared spectroscopy. The published data can either be used as a model of human cartilage or to advance equine veterinary research.

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Series: Scientific data
ISSN: 2052-4463
ISSN-E: 2052-4463
ISSN-L: 2052-4463
Volume: 6
Article number: 164
DOI: 10.1038/s41597-019-0170y
Type of Publication: A1 Journal article – refereed
Field of Science: 217 Medical engineering
Funding: Doctoral Programme in Science, Technology and Computing (SCITECO) of University of Eastern Finland, Kuopio University Hospital (VTR projects 5041750, 5041744, 5041778, and 5203111, PY210 Clinical Neurophysiology), the Academy of Finland (projects 267551, 310466, and 315820), Orion Research Foundation sr, and Finnish foundation of technology promotion (project 8193) financially supported this study.
Academy of Finland Grant Number: 310466
Detailed Information: 310466 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit