Evidence map›Paper›PMID 31009584›Full record

ReviewJournal of dental research2019

Tissue Clearing and Its Application to Bone and Dental Tissues.

D Jing, Y Yi, W Luo, S Zhang, Q Yuan, J Wang, E Lachika, Z Zhao, H Zhao

Open access · greenAbstract readReview
In one paragraph

Review in Journal of dental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 61 citations in OpenAlex.

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  9. Review
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  16. Clearing-enabled light sheet microscopy as a novel method for three-dimensional mapping of the sensory innervation of the mouse knee.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Article
  17. 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

9 authors at 4 institutions in 2 countries.

D Jing1 Department of Restorative Sciences, School of Dentistry, Texas A&M University, Dallas, TX, USA.
Y Yi1 Department of Restorative Sciences, School of Dentistry, Texas A&M University, Dallas, TX, USA.
W Luo1 Department of Restorative Sciences, School of Dentistry, Texas A&M University, Dallas, TX, USA.
S Zhang2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China.
Q Yuan2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China.
J Wang2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China.
E Lachika3 Intelligent Imaging Innovations (3i), Denver, CO, USA.
Z Zhao2 State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China.
H Zhao1 Department of Restorative Sciences, School of Dentistry, Texas A&M University, Dallas, TX, USA.
Sichuan University · CNTexas A&M University · USIntelligent Light (United States) · USState Key Laboratory of Oral Diseases

Funding

IN VIVO IDENTITY AND NICHE OF PERIODONTAL LIGAMENT STEM CELLSK08DE025090 · NIDCR · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI ZHAO, HU · 2016 to 2019
$477k
Utilizing tissue clearing based 3-D imaging to quantitatively study neural regulation of craniofacial mesenchymal stem cellsR21DE027928 · NIDCR · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI FENG, JIAN Q. · 2018 to 2019
$408k
NIDCR NIH HHS K08 DE025090NIDCR NIH HHS R21 DE027928
6 · The paper itself

Abstract

Opaqueness of animal tissue can be attributed mostly to light absorption and light scattering. In most noncleared tissue samples, confocal images can be acquired at no more than a 100-µm depth. Tissue-clearing techniques have emerged in recent years in the neuroscience field. Many tissue-clearing methods have been developed, and they all follow similar working principles. During the tissue-clearing process, chemical or physical treatments are applied to remove components blocking or scattering the light. Finally, samples are immersed in a designated clearing medium to achieve a uniform refractive index and to gain transparency. Once the transparency is reached, images can be acquired even at several millimeters of depth with high resolution. Tissue clearing has become an essential tool for neuroscientists to investigate the neural connectome or to analyze spatial information of various types of brain cells. Other than neural science research, tissue-clearing techniques also have applications for bone research. Several methods have been developed for clearing bones. Clearing treatment enables 3-dimensional imaging of bones without sectioning and provides important new insights that are difficult or impossible to acquire with conventional approaches. Application of tissue-clearing technique on dental research remains limited. This review will provide an overview of the recent literature related to the methods and application of various tissue-clearing methods. The following aspects will be covered: general principles for the tissue-clearing technique, current available methods for clearing bones and teeth, general principles of 3-dimensional imaging acquisition and data processing, applications of tissue clearing on studying biological processes within bones and teeth, and future directions for 3-dimensional imaging.

Indexed as

Imaging, Three-DimensionalBone and BonesHumansToothbone biologydental implantdental pulp biologydigital imagingmicroscopyperiodontal ligament

Identifiers

PMID31009584
PMCPMC6535919
OpenAlexW2942292059

What OpenQuestion holds

Textmetadata
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.