Evidence map›Paper›PMID 31375678›Full record

ArticleNature communications2019

TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain.

Yimin Wang, Qi Li, Lijuan Liu, Zhi Zhou, Zongcai Ruan, Lingsheng Kong, Yaoyao Li, Yun Wang, Ning Zhong, Renjie Chai and 8 more

Abstract readVideo-Audio Media
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

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  15. Metaverse Wearables for Immersive Digital Healthcare: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
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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

18 authors.

Yimin WangSoutheast University - Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, 210096, China. y_wang@shu.edu.cn.ORCID http://orcid.org/0000-0003-2515-6602
Qi LiSchool of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China.
Lijuan LiuSoutheast University - Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, 210096, China.
Zhi ZhouSoutheast University - Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, 210096, China.
Zongcai RuanSoutheast University - Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, 210096, China.
Lingsheng KongSchool of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China.
Yaoyao LiSchool of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, 325027, China.
Yun WangAllen Institute for Brain Science, Seattle, 98109, USA.
Ning ZhongBeijing University of Technology, 100124, Beijing, China.
Renjie ChaiInstitute of Life Sciences, Southeast University, Nanjing, 210096, China.
Xiangfeng LuoSchool of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China.
Yike GuoData Science Institute, Imperial College London, London, SW7 2AZ, UK.
Michael HawrylyczAllen Institute for Brain Science, Seattle, 98109, USA.
Qingming LuoBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
Zhongze GuSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.ORCID http://orcid.org/0000-0001-8926-7710
Wei XieInstitute of Life Sciences, Southeast University, Nanjing, 210096, China.ORCID http://orcid.org/0000-0002-9179-4787
Hongkui ZengAllen Institute for Brain Science, Seattle, 98109, USA.ORCID http://orcid.org/0000-0002-0326-5878
Hanchuan PengSoutheast University - Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, 210096, China. hanchuanp@alleninstitute.org.ORCID http://orcid.org/0000-0002-3478-3942

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI NGAI, JOHN J. · 2017 to 2021
$64.7M
NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

Neuron morphology is recognized as a key determinant of cell type, yet the quantitative profiling of a mammalian neuron's complete three-dimensional (3-D) morphology remains arduous when the neuron has complex arborization and long projection. Whole-brain reconstruction of neuron morphology is even more challenging as it involves processing tens of teravoxels of imaging data. Validating such reconstructions is extremely laborious. We develop TeraVR, an open-source virtual reality annotation system, to address these challenges. TeraVR integrates immersive and collaborative 3-D visualization, interaction, and hierarchical streaming of teravoxel-scale images. Using TeraVR, we have produced precise 3-D full morphology of long-projecting neurons in whole mouse brains and developed a collaborative workflow for highly accurate neuronal reconstruction.

Indexed as

Imaging, Three-DimensionalUser-Computer InterfaceVirtual RealityAnimalsBrainMiceNeuronsTomography, OpticalVideo Recording

Identifiers

PMID31375678
PMCPMC6677772

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.