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Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography.

Publication ,  Journal Article
Ding, Y; Vanselow, DJ; Yakovlev, MA; Katz, SR; Lin, AY; Clark, DP; Vargas, P; Xin, X; Copper, JE; Canfield, VA; Ang, KC; Wang, Y; Xiao, X ...
Published in: Elife
May 7, 2019

Organismal phenotypes frequently involve multiple organ systems. Histology is a powerful way to detect cellular and tissue phenotypes, but is largely descriptive and subjective. To determine how synchrotron-based X-ray micro-tomography (micro-CT) can yield 3-dimensional whole-organism images suitable for quantitative histological phenotyping, we scanned whole zebrafish, a small vertebrate model with diverse tissues, at ~1 micron voxel resolutions. Micro-CT optimized for cellular characterization (histotomography) allows brain nuclei to be computationally segmented and assigned to brain regions, and cell shapes and volumes to be computed for motor neurons and red blood cells. Striking individual phenotypic variation was apparent from color maps of computed densities of brain nuclei. Unlike histology, the histotomography also allows the study of 3-dimensional structures of millimeter scale that cross multiple tissue planes. We expect the computational and visual insights into 3D cell and tissue architecture provided by histotomography to be useful for reference atlases, hypothesis generation, comprehensive organismal screens, and diagnostics.

Duke Scholars

Published In

Elife

DOI

EISSN

2050-084X

Publication Date

May 7, 2019

Volume

8

Location

England

Related Subject Headings

  • Zebrafish
  • X-Ray Microtomography
  • Imaging, Three-Dimensional
  • Histological Techniques
  • Animals
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 31 Biological sciences
  • 0601 Biochemistry and Cell Biology
 

Citation

APA
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Ding, Y., Vanselow, D. J., Yakovlev, M. A., Katz, S. R., Lin, A. Y., Clark, D. P., … Cheng, K. C. (2019). Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography. Elife, 8. https://doi.org/10.7554/eLife.44898
Ding, Yifu, Daniel J. Vanselow, Maksim A. Yakovlev, Spencer R. Katz, Alex Y. Lin, Darin P. Clark, Phillip Vargas, et al. “Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography.Elife 8 (May 7, 2019). https://doi.org/10.7554/eLife.44898.
Ding Y, Vanselow DJ, Yakovlev MA, Katz SR, Lin AY, Clark DP, et al. Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography. Elife. 2019 May 7;8.
Ding, Yifu, et al. “Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography.Elife, vol. 8, May 2019. Pubmed, doi:10.7554/eLife.44898.
Ding Y, Vanselow DJ, Yakovlev MA, Katz SR, Lin AY, Clark DP, Vargas P, Xin X, Copper JE, Canfield VA, Ang KC, Wang Y, Xiao X, De Carlo F, van Rossum DB, La Riviere P, Cheng KC. Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography. Elife. 2019 May 7;8.

Published In

Elife

DOI

EISSN

2050-084X

Publication Date

May 7, 2019

Volume

8

Location

England

Related Subject Headings

  • Zebrafish
  • X-Ray Microtomography
  • Imaging, Three-Dimensional
  • Histological Techniques
  • Animals
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 31 Biological sciences
  • 0601 Biochemistry and Cell Biology