Extended-wavelength diffuse reflectance spectroscopy dataset of animal tissues for bone-related biomedical applications

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作者
Celina L. Li
Carl J. Fisher
Katarzyna Komolibus
Huihui Lu
Ray Burke
Andrea Visentin
Stefan Andersson-Engels
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[1] Biophotonics@Tyndall,Insight Centre for Data Analytics, School of Computer Science and Information Technology
[2] IPIC,Department of Physics
[3] Tyndall National Institute,undefined
[4] Lee Maltings,undefined
[5] Dyke Parade,undefined
[6] University College Cork,undefined
[7] University College Cork,undefined
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Diffuse reflectance spectroscopy (DRS) has been extensively studied in both preclinical and clinical settings for multiple applications, notably as a minimally invasive diagnostic tool for tissue identification and disease delineation. In this study, extended-wavelength DRS (EWDRS) measurements of ex vivo tissues ranging from ultraviolet through visible to the short-wave infrared region (355–1919 nm) are presented in two datasets. The first dataset contains labelled EWDRS measurements collected from bone cement samples and ovine specimens including 10 tissue types commonly encountered in orthopedic surgeries for data curation purposes. The other dataset includes labelled EWDRS measurements of primarily bone structures at different depths during stepwise drilling into intact porcine skulls until plunging into the cranial cavity. The raw data with code for pre-processing and calibration is publicly available for reuse on figshare. The datasets can be utilized not only for exploratory purposes in machine learning model construction, but also for knowledge discovery in the orthopedic domain to identify important features for surgical guidance, extract physiological parameters and provide diagnostic insights.
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