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

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 suitabl...

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Autores principales: Ding, Yifu, Vanselow, Daniel J, Yakovlev, Maksim A, Katz, Spencer R, Lin, Alex Y, Clark, Darin P, Vargas, Phillip, Xin, Xuying, Copper, Jean E, Canfield, Victor A, Ang, Khai C, Wang, Yuxin, Xiao, Xianghui, De Carlo, Francesco, van Rossum, Damian B, La Riviere, Patrick, Cheng, Keith C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559789/
https://www.ncbi.nlm.nih.gov/pubmed/31063133
http://dx.doi.org/10.7554/eLife.44898
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author Ding, Yifu
Vanselow, Daniel J
Yakovlev, Maksim A
Katz, Spencer R
Lin, Alex Y
Clark, Darin P
Vargas, Phillip
Xin, Xuying
Copper, Jean E
Canfield, Victor A
Ang, Khai C
Wang, Yuxin
Xiao, Xianghui
De Carlo, Francesco
van Rossum, Damian B
La Riviere, Patrick
Cheng, Keith C
author_facet Ding, Yifu
Vanselow, Daniel J
Yakovlev, Maksim A
Katz, Spencer R
Lin, Alex Y
Clark, Darin P
Vargas, Phillip
Xin, Xuying
Copper, Jean E
Canfield, Victor A
Ang, Khai C
Wang, Yuxin
Xiao, Xianghui
De Carlo, Francesco
van Rossum, Damian B
La Riviere, Patrick
Cheng, Keith C
author_sort Ding, Yifu
collection PubMed
description 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.
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spelling pubmed-65597892019-06-12 Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography Ding, Yifu Vanselow, Daniel J Yakovlev, Maksim A Katz, Spencer R Lin, Alex Y Clark, Darin P Vargas, Phillip Xin, Xuying Copper, Jean E Canfield, Victor A Ang, Khai C Wang, Yuxin Xiao, Xianghui De Carlo, Francesco van Rossum, Damian B La Riviere, Patrick Cheng, Keith C eLife Developmental Biology 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. eLife Sciences Publications, Ltd 2019-05-07 /pmc/articles/PMC6559789/ /pubmed/31063133 http://dx.doi.org/10.7554/eLife.44898 Text en © 2019, Ding et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Developmental Biology
Ding, Yifu
Vanselow, Daniel J
Yakovlev, Maksim A
Katz, Spencer R
Lin, Alex Y
Clark, Darin P
Vargas, Phillip
Xin, Xuying
Copper, Jean E
Canfield, Victor A
Ang, Khai C
Wang, Yuxin
Xiao, Xianghui
De Carlo, Francesco
van Rossum, Damian B
La Riviere, Patrick
Cheng, Keith C
Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography
title Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography
title_full Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography
title_fullStr Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography
title_full_unstemmed Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography
title_short Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography
title_sort computational 3d histological phenotyping of whole zebrafish by x-ray histotomography
topic Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559789/
https://www.ncbi.nlm.nih.gov/pubmed/31063133
http://dx.doi.org/10.7554/eLife.44898
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