PUBLICATION

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

Authors
Ding, Y., Vanselow, D.J., Yakovlev, M.A., Katz, S.R., Lin, A.Y., Clark, D.P., Vargas, P., Xin, X., Copper, J.E., Canfield, V.A., Ang, K.C., Wang, Y., Xiao, X., De Carlo, F., van Rossum, D.B., La Riviere, P., Cheng, K.
ID
ZDB-PUB-190508-9
Date
2019
Source
eLIFE   8: (Journal)
Registered Authors
Canfield, Victor, Cheng, Keith C.
Keywords
developmental biology, zebrafish
MeSH Terms
  • Animals
  • Histological Techniques/methods*
  • Imaging, Three-Dimensional/methods*
  • X-Ray Microtomography/methods*
  • Zebrafish/anatomy & histology*
PubMed
31063133 Full text @ Elife
Abstract
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. Using micro-CT optimized for cellular characterization (histotomography), brain nuclei were computationally segmented and assigned to brain regions. Shape and volume were computed for populations of nuclei such as those of motor neurons and red blood cells. Striking individual phenotypic variation was apparent from color maps of computed cell density. Unlike histology, histotomography allows the detection of phenotypes that require millimeter scale context in multiple planes. We expect the computational and visual insights into 3D tissue architecture provided by histotomography to be useful for reference atlases, hypothesis generation, comprehensive organismal screens, and diagnostics.
Genes / Markers
Figures
Show all Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping