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An image analysis protocol for the quantification of interglobular dentine in anthropological tooth sections.
Snoddy, Anne Marie E; Miszkiewicz, Justyna J; Loch, Carolina; Tromp, Monica; Buckley, Hallie R.
Afiliación
  • Snoddy AME; Department of Anatomy, University of Otago, Dunedin, New Zealand.
  • Miszkiewicz JJ; School of Archaeology and Anthropology, Australian National University, College of Arts and Sciences, Canberra, Australia.
  • Loch C; Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.
  • Tromp M; Department of Anatomy, University of Otago, Dunedin, New Zealand.
  • Buckley HR; Southern Pacific Archaeological Research, Archaeology Programme, School of Social Sciences, University of Otago, Dunedin, New Zealand.
Am J Phys Anthropol ; 174(1): 144-148, 2021 01.
Article en En | MEDLINE | ID: mdl-32914865
The histological identification of interglobular dentine (IGD) in archeological human remains with macroscopic evidence of rickets has opened a promising new avenue for the investigation of metabolic disease in the past. Recent paleopathological studies have shown that histological analysis of archeological human teeth may allow the identification of periods of vitamin D deficiency occurring within very narrow developmental windows, yielding new information on the seasonality or even maternal-fetal transmission of this disease. However, currently available techniques for recording IGD rely on subjective scoring systems or visual estimations, potentially leaving them open to inter and intra-observer error and rendering comparisons of datasets difficult. Here we describe a new imaging protocol that utilizes open access software and may yield more objective and quantitative data on the amount of IGD present within a dentinal region of interest. We demonstrate that grayscale histograms in FIJI®/ImageJ® might be used to provide less subjective estimates of the percentage of a region of interest affected by IGD. Application of this technique may enable more accurate comparison of datasets between researchers.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Programas Informáticos / Dentina Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Am J Phys Anthropol Año: 2021 Tipo del documento: Article País de afiliación: Nueva Zelanda

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Programas Informáticos / Dentina Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Am J Phys Anthropol Año: 2021 Tipo del documento: Article País de afiliación: Nueva Zelanda