Dataset for: Multispectral imaging of nailfold capillaries using light-emitting diode illumination

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Authors
Taylor-Williams, Michaela
Mead, Stephen
Sawyer, Travis W
Hacker, Lina
Williams, Calum
Berks, Michael
Murray, Andrea
Publication Date
2023-01-31
Type
Dataset
Metadata
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Citation
Taylor-Williams, M., Mead, S., Sawyer, T. W., Hacker, L., Williams, C., Berks, M., Murray, A., & et al. (2023). Dataset for: Multispectral imaging of nailfold capillaries using light-emitting diode illumination [Dataset]. https://doi.org/10.17863/CAM.84746
Description
The dataset consists of a series of zip files containing the raw data underlying each of the figures in the associated manuscript. See the Readme file for a detailed description of the dataset.
Format
Analysis code is prepared in Matlab (.m files for code, .mat files for data, .fig files for outputs)
Keywords
hemoglobin, illumination modeling, LED, multispectral imaging, nailfold capillaroscopy, oximetry, phantom, spectral modeling
Relationships
Publication Reference: https://doi.org/10.1117/1.JBO.27.12.126002https://www.repository.cam.ac.uk/handle/1810/345610
Sponsorship
Cancer Research UK (C14303/A17197)
Engineering and Physical Sciences Research Council (EP/R003599/1)
Cancer Research UK (CR/2020-060 / TEPO-4115073)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.84746
Rights
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Licence URL: https://creativecommons.org/licenses/by-nc/4.0/
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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)