X-ray microtomography-based atlas of mouse cranial development.

3D modelling X-ray computed tomography microtomography mouse embryo head nasal capsule tissue contrast

Journal

GigaScience
ISSN: 2047-217X
Titre abrégé: Gigascience
Pays: United States
ID NLM: 101596872

Informations de publication

Date de publication:
02 03 2021
Historique:
received: 21 09 2020
revised: 21 12 2020
accepted: 02 02 2021
entrez: 7 3 2021
pubmed: 8 3 2021
medline: 17 11 2021
Statut: ppublish

Résumé

X-ray microtomography (μCT) has become an invaluable tool for non-destructive analysis of biological samples in the field of developmental biology. Mouse embryos are a typical model for investigation of human developmental diseases. By obtaining 3D high-resolution scans of the mouse embryo heads, we gain valuable morphological information about the structures prominent in the development of future face, brain, and sensory organs. The development of facial skeleton tracked in these μCT data provides a valuable background for further studies of congenital craniofacial diseases and normal development. In this work, reusable tomographic data from 7 full 3D scans of mouse embryo heads are presented and made publicly available. The ages of these embryos range from E12.5 to E18.5. The samples were stained by phosphotungstic acid prior to scanning, which greatly enhanced the contrast of various tissues in the reconstructed images and enabled precise segmentation. The images were obtained on a laboratory-based μCT system. Furthermore, we provide manually segmented masks of mesenchymal condensations (for E12.5 and E13.5) and cartilage present in the nasal capsule of the scanned embryos. We present a comprehensive dataset of X-ray 3D computed tomography images of the developing mouse head with high-quality manual segmentation masks of cartilaginous nasal capsules. The provided μCT images can be used for studying any other major structure within the developing mouse heads. The high quality of the manually segmented models of nasal capsules may be instrumental to understanding the complex process of the development of the face in a mouse model.

Sections du résumé

BACKGROUND
X-ray microtomography (μCT) has become an invaluable tool for non-destructive analysis of biological samples in the field of developmental biology. Mouse embryos are a typical model for investigation of human developmental diseases. By obtaining 3D high-resolution scans of the mouse embryo heads, we gain valuable morphological information about the structures prominent in the development of future face, brain, and sensory organs. The development of facial skeleton tracked in these μCT data provides a valuable background for further studies of congenital craniofacial diseases and normal development.
FINDINGS
In this work, reusable tomographic data from 7 full 3D scans of mouse embryo heads are presented and made publicly available. The ages of these embryos range from E12.5 to E18.5. The samples were stained by phosphotungstic acid prior to scanning, which greatly enhanced the contrast of various tissues in the reconstructed images and enabled precise segmentation. The images were obtained on a laboratory-based μCT system. Furthermore, we provide manually segmented masks of mesenchymal condensations (for E12.5 and E13.5) and cartilage present in the nasal capsule of the scanned embryos.
CONCLUSION
We present a comprehensive dataset of X-ray 3D computed tomography images of the developing mouse head with high-quality manual segmentation masks of cartilaginous nasal capsules. The provided μCT images can be used for studying any other major structure within the developing mouse heads. The high quality of the manually segmented models of nasal capsules may be instrumental to understanding the complex process of the development of the face in a mouse model.

Identifiants

pubmed: 33677535
pii: 6156288
doi: 10.1093/gigascience/giab012
pmc: PMC7936920
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press GigaScience.

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Auteurs

Jan Matula (J)

Central European Institute of Technology, Brno University of Technology, Purkyňova 123, Brno, 61200, Czech Republic.

Marketa Tesarova (M)

Central European Institute of Technology, Brno University of Technology, Purkyňova 123, Brno, 61200, Czech Republic.

Tomas Zikmund (T)

Central European Institute of Technology, Brno University of Technology, Purkyňova 123, Brno, 61200, Czech Republic.

Marketa Kaucka (M)

Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, Plön, 24306, Germany.
Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.

Igor Adameyko (I)

Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.

Jozef Kaiser (J)

Central European Institute of Technology, Brno University of Technology, Purkyňova 123, Brno, 61200, Czech Republic.

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Classifications MeSH