Evidence map›Paper›PMID 34508173›Full record

ArticleCommunications biology2021

3D imaging of human organs with micrometer resolution - applied to the endocrine pancreas.

Max Hahn, Christoffer Nord, Maria Eriksson, Federico Morini, Tomas Alanentalo, Olle Korsgren, Ulf Ahlgren

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Three-dimensional analysis of human pancreatic cancer specimens by phase-contrast based X-ray tomography - the next dimension of diagnosis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. TISSUE CLEARING.Nature reviews. Methods primers · 2021
    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.

Max HahnUmeå Centre for Molecular Medicine, Umeå University, Umeå, Sweden.ORCID 0000-0002-0712-8256
Christoffer NordUmeå Centre for Molecular Medicine, Umeå University, Umeå, Sweden.ORCID 0000-0001-9401-6844
Maria ErikssonUmeå Centre for Molecular Medicine, Umeå University, Umeå, Sweden.
Federico MoriniUmeå Centre for Molecular Medicine, Umeå University, Umeå, Sweden.
Tomas AlanentaloUmeå Centre for Molecular Medicine, Umeå University, Umeå, Sweden.
Olle KorsgrenDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Ulf AhlgrenUmeå Centre for Molecular Medicine, Umeå University, Umeå, Sweden. Ulf.Ahlgren@umu.se.ORCID 0000-0001-5923-8572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The possibility to quantitatively study specific molecular/cellular features of complete human organs with preserved spatial 3D context would have widespread implications for pre-clinical and clinical medicine. Whereas optical 3D imaging approaches have experienced a formidable revolution, they have remained limited due to current incapacities in obtaining specific labelling within large tissue volumes. We present a simple approach enabling reconstruction of antibody labeled cells within entire human organs with preserved organ context. We demonstrate the utility of the approach by providing volumetric data and 3D distribution of hundreds of thousands of islets of Langerhans within the human pancreas. By assessments of pancreata from non-diabetic and type 2 diabetic individuals, we display previously unrecognized features of the human islet mass distribution and pathology. As such, this method may contribute not only in unraveling new information of the pancreatic anatomy/pathophysiology, but it may be translated to essentially any antibody marker or organ system.

Indexed as

Imaging, Three-DimensionalAgedHumansIslets of LangerhansMale

Identifiers

PMID34508173
PMCPMC8433206

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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.