Evidence map›Paper›PMID 32157103›Full record

ArticleScientific reports2020

The temporal structure of the inner retina at a single glance.

Zhijian Zhao, David A Klindt, André Maia Chagas, Klaudia P Szatko, Luke Rogerson, Dario A Protti, Christian Behrens, Deniz Dalkara, Timm Schubert, Matthias Bethge and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

14 authors.

Zhijian ZhaoInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
David A KlindtInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
André Maia ChagasInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
Klaudia P SzatkoInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
Luke RogersonInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
Dario A ProttiDepartment of Physiology and Bosch Institute, The University of Sydney, Sydney, Australia.
Christian BehrensInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
Deniz DalkaraSorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France.
Timm SchubertInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
Matthias BethgeCentre for Integrative Neuroscience (CIN), University of Tübingen, Tübingen, Germany.
Katrin FrankeInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.ORCID 0000-0002-8649-4835
Philipp BerensInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.ORCID 0000-0002-0199-4727
Alexander S EckerCentre for Integrative Neuroscience (CIN), University of Tübingen, Tübingen, Germany.
Thomas EulerInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany. thomas.euler@cin.uni-tuebingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The retina decomposes visual stimuli into parallel channels that encode different features of the visual environment. Central to this computation is the synaptic processing in a dense layer of neuropil, the so-called inner plexiform layer (IPL). Here, different types of bipolar cells stratifying at distinct depths relay the excitatory feedforward drive from photoreceptors to amacrine and ganglion cells. Current experimental techniques for studying processing in the IPL do not allow imaging the entire IPL simultaneously in the intact tissue. Here, we extend a two-photon microscope with an electrically tunable lens allowing us to obtain optical vertical slices of the IPL, which provide a complete picture of the response diversity of bipolar cells at a "single glance". The nature of these axial recordings additionally allowed us to isolate and investigate batch effects, i.e. inter-experimental variations resulting in systematic differences in response speed. As a proof of principle, we developed a simple model that disentangles biological from experimental causes of variability and allowed us to recover the characteristic gradient of response speeds across the IPL with higher precision than before. Our new framework will make it possible to study the computations performed in the central synaptic layer of the retina more efficiently.

Indexed as

Amacrine CellsAnimalsFemaleMaleMiceMicroscopyPhotoreceptor Cells, VertebrateRetinal Ganglion Cells

Identifiers

PMID32157103
PMCPMC7064538

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.