Evidence map›Paper›PMID 35235045›Full record

ReviewHistochemistry and cell biology2022

Optical tissue clearing associated with 3D imaging: application in preclinical and clinical studies.

Cinzia Brenna, Carolina Simioni, Gabriele Varano, Ilaria Conti, Eva Costanzi, Mattia Melloni, Luca Maria Neri

Abstract readReview
In one paragraph

Review in Histochemistry and cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  8. Review
  9. Article
  10. Three-dimensional structural and metric characterisation of cardioids.Frontiers in cell and developmental biology · 2024
    Article
  11. Article
  12. Combining tissue clearing and Fluoro-Jade C labeling for neurotoxicity assessments.Experimental biology and medicine (Maywood, N.J.) · 2023
    Article
  13. Article
  14. Article
  15. In focus in HCB.Histochemistry and cell biology · 2022
    Article
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

7 authors.

Cinzia BrennaDepartment of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy.
Carolina SimioniDepartment of Life Sciences and Biotechnology, University of Ferrara, 44121, Ferrara, Italy.
Gabriele VaranoDepartment of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy.
Ilaria ContiDepartment of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy.
Eva CostanziDepartment of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy.
Mattia MelloniDepartment of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy.
Luca Maria NeriDepartment of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy. luca.neri@unife.it.ORCID http://orcid.org/0000-0002-7924-1477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the inner morphology of intact tissues is one of the most competitive challenges in modern biology. Since the beginning of the twentieth century, optical tissue clearing (OTC) has provided solutions for volumetric imaging, allowing the microscopic visualization of thick sections of tissue, organoids, up to whole organs and organisms (for example, mouse or rat). Recently, tissue clearing has also been introduced in clinical settings to achieve a more accurate diagnosis with the support of 3D imaging. This review aims to give an overview of the most recent developments in OTC and 3D imaging and to illustrate their role in the field of medical diagnosis, with a specific focus on clinical applications.

Indexed as

Imaging, Three-DimensionalOrganoidsAnimalsMiceOptical ImagingRats3D imagingClinical applicationsClinical diagnosisOncologyOTC

Identifiers

PMID35235045
PMCPMC9114043

What OpenQuestion holds

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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.