Evidence map›Paper›PMID 32864115›Full record

ArticleLight, science & applications2020

Dynamic full-field optical coherence tomography: 3D live-imaging of retinal organoids.

Jules Scholler, Kassandra Groux, Olivier Goureau, José-Alain Sahel, Mathias Fink, Sacha Reichman, Claude Boccara, Kate Grieve

Abstract read
In one paragraph

Article in Light, science & applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 1 pooled it
–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

109 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Virtual histology imaging of lymph nodesCancer biology & medicine · 2026
    Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

49 more citing papers are in PubMed but not listed here.

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

8 authors.

Jules Scholler *Institut Langevin, ESPCI Paris, PSL University, CNRS, 10 rue Vauquelin, Paris, France.ORCID 0000-0002-1890-5938
Kassandra Groux *Institut Langevin, ESPCI Paris, PSL University, CNRS, 10 rue Vauquelin, Paris, France.
Olivier GoureauInstitut de la Vision, Sorbonne Université, INSERM, CNRS, F-75012 Paris, France.
José-Alain SahelInstitut de la Vision, Sorbonne Université, INSERM, CNRS, F-75012 Paris, France.
Mathias FinkInstitut Langevin, ESPCI Paris, PSL University, CNRS, 10 rue Vauquelin, Paris, France.ORCID 0000-0002-8494-7562
Sacha ReichmanInstitut de la Vision, Sorbonne Université, INSERM, CNRS, F-75012 Paris, France.ORCID 0000-0003-1776-6339
Claude BoccaraInstitut Langevin, ESPCI Paris, PSL University, CNRS, 10 rue Vauquelin, Paris, France.
Kate GrieveInstitut de la Vision, Sorbonne Université, INSERM, CNRS, F-75012 Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography offers astounding opportunities to image the complex structure of living tissue but lacks functional information. We present dynamic full-field optical coherence tomography as a technique to noninvasively image living human induced pluripotent stem cell-derived retinal organoids. Coloured images with an endogenous contrast linked to organelle motility are generated, with submicrometre spatial resolution and millisecond temporal resolution, creating a way to identify specific cell types in living tissue via their function.

Indexed as

Imaging and sensingInterference microscopyWide-field fluorescence microscopy

Identifiers

PMID32864115
PMCPMC7429964

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.