Evidence map›Paper›PMID 31063133›Full record

ArticleeLife2019

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

Yifu Ding, Daniel J Vanselow, Maksim A Yakovlev, Spencer R Katz, Alex Y Lin, Darin P Clark, Phillip Vargas, Xuying Xin, Jean E Copper, Victor A Canfield and 7 more

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Yifu DingThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.ORCID 0000-0002-4629-5858
Daniel J VanselowThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.ORCID 0000-0002-9221-8634
Maksim A YakovlevThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.ORCID 0000-0003-1846-3751
Spencer R KatzThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.ORCID 0000-0002-5586-3562
Alex Y LinThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.ORCID 0000-0002-1653-4168
Darin P ClarkCenter for In Vivo Microscopy, Duke University, Durham, United States.
Phillip VargasDepartment of Radiology, The University of Chicago, Chicago, United States.
Xuying XinThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.
Jean E CopperThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.
Victor A CanfieldThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.ORCID 0000-0002-4359-1790
Khai C AngThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.ORCID 0000-0001-7695-9953
Yuxin WangImaging Group, Omnivision Technologies, Inc., Santa Clara, United States.
Xianghui XiaoNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, United States.
Francesco De CarloAdvanced Photon Source, Argonne National Laboratory, Lemont, United States.
Damian B van RossumThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.
Patrick La RiviereDepartment of Radiology, The University of Chicago, Chicago, United States.ORCID 0000-0003-3415-9864
Keith C ChengThe Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, United States.ORCID 0000-0002-5350-5825

Funding

Groundwork for a Synchrotron MicroCT Imaging Resource for Biology (SMIRB)R24OD018559 · OD · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CHENG, KEITH CHI · 2015 to 2022
$6.4M
Web-based Atlas of Zebrafish Microanatomy as a Community ResourceR24RR017441 · NCRR · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CHENG, KEITH CHI · 2004 to 2011
$4.3M
Huck Institutes of the Life Sciences Pilot award fundingHuck Institutes of the Life Sciences VIrtual Slide ScannerInstitute for Cyber Science, PSU Pilot award fundingJake Gittlen Memorial Golf Tournament Pilot award fundingNCRR NIH HHS R24 RR017441NIH HHS R24 OD018559NIH HHS R24-RR017441NIH Office of the Director R24-OD018559Pennsylvania Tobacco Fund Penn State Zebrafish Functional Genomics Core
6 · The paper itself

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. 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.

Indexed as

AnimalsHistological TechniquesImaging, Three-DimensionalX-Ray MicrotomographyZebrafish3D histology3D imagingcell densitycell shapecomputational phenomicsdevelopmental biologymicro-CTphenotypic variationtissue architecturevolumetric histologywhole-organism phenomicszebrafish

Identifiers

PMID31063133
PMCPMC6559789

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.