Opportunities for biomineralization research using multiscale computed X-ray tomography as exemplified by bone imaging

Nina Kølln Wittig*, Maja Østergaard, Jonas Palle, Thorbjørn Erik Køppen Christensen, Bente Lomholt Langdahl, Lars Rejnmark, Ellen Margrethe Hauge, Annemarie Brüel, Jesper Skovhus Thomsen*, Henrik Birkedal*

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperReviewResearchpeer-review

16 Citations (Scopus)
37 Downloads (Pure)

Abstract

Biominerals typically have complex hierarchical structures traversing many length scales. This makes their structural characterization complicated, since it requires 3D techniques that can probe full specimens at down to nanometer-resolution, a combination that is difficult – if not impossible – to achieve simultaneously. One challenging example is bone, a mineralized tissue with a highly complex architecture that is replete with a network of cells. X-ray computed tomography techniques enable multiscale structural characterization through the combination of various equipment and emerge as promising tools for characterizing biominerals. Using bone as an example, we discuss how combining different X-ray imaging instruments allow characterizing bone structures from the nano- to the organ-scale. In particular, we compare and contrast human and rodent bone, emphasize the importance of the osteocyte lacuno-canalicular network in bone, and finally illustrate how combining synchrotron X-ray imaging with laboratory instrumentation for computed tomography is especially helpful for multiscale characterization of biominerals.

Original languageEnglish
Article number107822
JournalJournal of Structural Biology
Volume214
Issue1
Number of pages7
ISSN1047-8477
DOIs
Publication statusPublished - Mar 2022

Keywords

  • Biomineralization
  • Bone
  • Bone structure
  • Computed X-ray tomography
  • X-ray microscopy
  • Bone and Bones/diagnostic imaging
  • Synchrotrons
  • Osteocytes
  • Tomography, X-Ray Computed
  • Imaging, Three-Dimensional

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