Literature DB >> 33677535

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

Jan Matula1, Marketa Tesarova1, Tomas Zikmund1, Marketa Kaucka2,3, Igor Adameyko3, Jozef Kaiser1.   

Abstract

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

Entities:  

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

Year:  2021        PMID: 33677535     DOI: 10.1093/gigascience/giab012

Source DB:  PubMed          Journal:  Gigascience        ISSN: 2047-217X            Impact factor:   6.524


  2 in total

1.  Resolving complex cartilage structures in developmental biology via deep learning-based automatic segmentation of X-ray computed microtomography images.

Authors:  Jan Matula; Veronika Polakova; Jakub Salplachta; Marketa Tesarova; Tomas Zikmund; Marketa Kaucka; Igor Adameyko; Jozef Kaiser
Journal:  Sci Rep       Date:  2022-05-24       Impact factor: 4.996

Review 2.  Mouse embryo phenotyping using X-ray microCT.

Authors:  Stephan Handschuh; Martin Glösmann
Journal:  Front Cell Dev Biol       Date:  2022-09-16
  2 in total

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