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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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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. |
format | Online Article Text |
id | pubmed-6559789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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