<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:format>application/pdf</dc:format>
  <dc:subject xml:lang="eng">X-ray Microtomography</dc:subject>
  <dc:subject xml:lang="eng">MicroCT</dc:subject>
  <dc:subject xml:lang="eng">µCT</dc:subject>
  <dc:subject xml:lang="eng">DECT</dc:subject>
  <dc:subject xml:lang="eng">Basis Material Decomposition</dc:subject>
  <dc:subject xml:lang="eng">DiceCT</dc:subject>
  <dc:description xml:lang="eng">In this view article, we present potential applications of laboratory-based spectral dual-energy X-ray microtomography imaging for ex vivo animal tissue samples. Technical details on this topic have been reported in previous work, so we focus explicitly on applications here, discussing both dual-energy imaging for the separation of mineralised tissue from one X-ray dense contrast agent, as well as the imaging of samples stained with two X-ray dense contrast agents. Examples are given for a variety of research areas, including preclinical biomedical phenotyping (vasculature, skeletal development), comparative vertebrate morphology, and invertebrate anatomy. Based on the data presented, we conclude that the use of spectral X-ray information can provide new insights into CT datasets. Although using the dual-energy approach initially requires more effort and cost in data acquisition, this additional effort is often worthwhile, as dual-energy datasets allow for more efficient data visualisation, segmentation, and analysis. Until now, software functions for acquisition and processing of dual-energy data have not been implemented in many of the software toolboxes provided by X-ray microtomography vendors with their scanners. We propose that a user-friendly implementation of software tools for acquiring and processing spectral CT data would be a big step towards a wider use of this promising and powerful imaging approach.</dc:description>
  <dc:type xml:lang="eng">Text</dc:type>
  <dc:type xml:lang="eng">journal article</dc:type>
  <dc:rights xml:lang="ita">Open Access</dc:rights>
  <dc:type xml:lang="ita">Documento PDF</dc:type>
  <dc:type xml:lang="ita">Articolo scientifico</dc:type>
  <dc:type xml:lang="deu">Text</dc:type>
  <dc:type xml:lang="deu">Wissenschaftlicher Artikel</dc:type>
  <dc:source xml:lang="eng">Methods in Microscopy</dc:source>
  <dc:creator>Stephan Handschuh</dc:creator>
  <dc:creator>Ursula Reichart</dc:creator>
  <dc:creator>Stefan Kummer</dc:creator>
  <dc:creator>Simone Gabner</dc:creator>
  <dc:creator>Bernhard Ruthensteiner</dc:creator>
  <dc:creator>Andy Sombke</dc:creator>
  <dc:creator>Thomas Schwaha</dc:creator>
  <dc:creator>Christian J. Beisser</dc:creator>
  <dc:creator>Patrick Lemell</dc:creator>
  <dc:creator>David Haberthür</dc:creator>
  <dc:creator>Ruslan Hlushchuk</dc:creator>
  <dc:creator>Rudolf Glueckert</dc:creator>
  <dc:creator>Brian D. Metscher</dc:creator>
  <dc:creator>Martin Glösmann</dc:creator>
  <dc:language>eng</dc:language>
  <dc:rights xml:lang="eng">© 2025 the author(s)</dc:rights>
  <dc:rights xml:lang="eng">open access</dc:rights>
  <dc:publisher>Walter de Gruyter</dc:publisher>
  <dc:title xml:lang="eng">Microscopic dual-energy computed tomography (microDECT) imaging of animal tissues: the colour of X-rays</dc:title>
  <dc:date>2025</dc:date>
  <dc:identifier>doi:10.1515/mim-2025-0006</dc:identifier>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:identifier>https://phaidra.vetmeduni.ac.at/o:5206</dc:identifier>
</oai_dc:dc>