Evidence map›Paper›PMID 29896415›Full record

ArticleAging and disease2018

CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain.

Lin-Yuan Zhang, Pan Lin, Jiaji Pan, Yuanyuan Ma, Zhenyu Wei, Lu Jiang, Liping Wang, Yaying Song, Yongting Wang, Zhijun Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
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

23 citing papers in PubMed, 49 citations in OpenAlex.

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  14. MACS: Rapid Aqueous Clearing System for 3D Mapping of Intact Organs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
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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

13 authors at 5 institutions in 3 countries.

Lin-Yuan Zhang *1Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Pan Lin *2Medical Image Computing Lab and.
Jiaji Pan *3Neuroscience and Neuroengineering Research Center, Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Yuanyuan Ma1Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhenyu Wei4Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201999, China.
Lu Jiang3Neuroscience and Neuroengineering Research Center, Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Liping Wang1Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yaying Song1Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yongting Wang3Neuroscience and Neuroengineering Research Center, Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Zhijun Zhang3Neuroscience and Neuroengineering Research Center, Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Kunlin Jin5Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, TX76107, USA.
Qian Wang2Medical Image Computing Lab and.
Guo-Yuan Yang1Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CNRuijin Hospital · CNLaboratoire d’Imagerie Biomédicale · FRShanghai Ninth People's Hospital · CNUniversity of North Texas Health Science Center · US

Funding

Aging and NeurogenesisR01AG021980 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI JIN, KUNLIN · 2003 to 2014
$3.9M
Impacts of the systemic milieu on stroke outcomeR21NS094859 · NINDS · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI JIN, KUNLIN · 2016 to 2017
$402k
NIA NIH HHS R01 AG021980NINDS NIH HHS R21 NS094859
6 · The paper itself

Abstract

Elucidating the normal structure and distribution of cerebral vascular system is fundamental for understanding its function. However, studies on visualization and whole-brain quantification of vasculature with cellular resolution are limited. Here, we explored the structure of vasculature at the whole-brain level using the newly developed CLARITY technique. Adult male C57BL/6J mice undergoing transient middle cerebral artery occlusion and Tie2-RFP transgenic mice were used. Whole mouse brains were extracted for CLARITY processing. Immunostaining was performed to label vessels. Customized MATLAB code was used for image processing and quantification. Three-dimensional images were visualized using the Vaa3D software. Our results showed that whole mouse brain became transparent using the CLARITY method. Three-dimensional imaging and visualization of vasculature were achieved at the whole-brain level with a 1-μm voxel resolution. The quantitative results showed that the fractional vascular volume was 0.018 ± 0.004 mm

Indexed as

brainclarityimaging processmousevasculature

Identifiers

PMID29896415
PMCPMC5963347
OpenAlexW2794620915

What OpenQuestion holds

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Registered trials

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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.