Evidence map›Paper›PMID 27699132›Full record

ArticleBiomedical optics express2016

3D imaging in CUBIC-cleared mouse heart tissue: going deeper.

Imke Nehrhoff, Diana Bocancea, Javier Vaquero, Juan José Vaquero, Jorge Ripoll, Manuel Desco, María Victoria Gómez-Gaviro

Abstract read
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Tissue Optical Clearing: State of the Art and Prospects.Diagnostics (Basel, Switzerland) · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
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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

7 authors.

Imke NehrhoffInstituto de Investigación Sanitaria Gregorio Marañón. (IiSGM), Madrid, Spain; These authors contributed equally to this work.
Diana BocanceaInstituto de Investigación Sanitaria Gregorio Marañón. (IiSGM), Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Spain; These authors contributed equally to this work.
Javier VaqueroInstituto de Investigación Sanitaria Gregorio Marañón. (IiSGM), Madrid, Spain; CIBER de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain.
Juan José VaqueroInstituto de Investigación Sanitaria Gregorio Marañón. (IiSGM), Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Spain.
Jorge RipollInstituto de Investigación Sanitaria Gregorio Marañón. (IiSGM), Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Spain.
Manuel DescoInstituto de Investigación Sanitaria Gregorio Marañón. (IiSGM), Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
María Victoria Gómez-GaviroInstituto de Investigación Sanitaria Gregorio Marañón. (IiSGM), Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to acquire high resolution 3D images of the heart enables to study heart diseases more in detail. In this work, the CUBIC (clear, unobstructed brain imaging cocktails and computational analysis) clearing protocol was optimized for thick mouse heart sections to enhance the penetration depth of the confocal microscope lasers into the tissue. In addition, the optimized CUBIC clearing of the heart enhances antibody penetration into the tissue by a factor of five. The present protocol enables deep 3D high-quality image acquisition in the heart allowing a much more accurate assessment of the cellular and structural changes that underlie heart diseases.

Indexed as

(000.1430) Biology and medicine(180.1790) Confocal microscopy

Identifiers

PMID27699132
PMCPMC5030044

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.