Evidence map›Paper›PMID 36278680›Full record

ArticleEpigenomes2022

Advanced Image Analysis Methods for Automated Segmentation of Subnuclear Chromatin Domains.

Philippe Johann To Berens, Geoffrey Schivre, Marius Theune, Jackson Peter, Salimata Ousmane Sall, Jérôme Mutterer, Fredy Barneche, Clara Bourbousse, Jean Molinier

Abstract read
In one paragraph

Article in Epigenomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. UV-B-induced modulation of constitutive heterochromatin content in Arabidopsis thaliana.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2023
    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

9 authors.

Philippe Johann To BerensInstitut de biologie moléculaire des plantes du CNRS, 67000 Strasbourg, France.
Geoffrey SchivreInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, Centre National de la Recherche Scientifique, Inserm, Université PSL, 75230 Paris, France.ORCID 0000-0001-7644-0422
Marius TheuneUniversität Kassel AG Gutekunst FB 10/Institut für Biologie Molekulare Pflanzenphysiologie Bioenergetik in Photoautotrophen, 34127 Kassel, Germany.ORCID 0000-0002-9130-7360
Jackson PeterInstitut de biologie moléculaire des plantes du CNRS, 67000 Strasbourg, France.ORCID 0000-0002-4094-5258
Salimata Ousmane SallInstitut de biologie moléculaire des plantes du CNRS, 67000 Strasbourg, France.
Jérôme MuttererInstitut de biologie moléculaire des plantes du CNRS, 67000 Strasbourg, France.
Fredy BarnecheInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, Centre National de la Recherche Scientifique, Inserm, Université PSL, 75230 Paris, France.ORCID 0000-0002-7014-7097
Clara BourbousseInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, Centre National de la Recherche Scientifique, Inserm, Université PSL, 75230 Paris, France.ORCID 0000-0001-6464-6124
Jean MolinierInstitut de biologie moléculaire des plantes du CNRS, 67000 Strasbourg, France.ORCID 0000-0002-8081-5933

Funding

Agence Nationale de la Recherche ANR-18-CE13-0004-01Agence Nationale de la Recherche ANR-20-CE13-0028Agence Nationale de la Recherche ANR-20-CE20-002Fondation pour la Recherche Médicale ECO202006011467Velux Stiftung ff
6 · The paper itself

Abstract

The combination of ever-increasing microscopy resolution with cytogenetical tools allows for detailed analyses of nuclear functional partitioning. However, the need for reliable qualitative and quantitative methodologies to detect and interpret chromatin sub-nuclear organization dynamics is crucial to decipher the underlying molecular processes. Having access to properly automated tools for accurate and fast recognition of complex nuclear structures remains an important issue. Cognitive biases associated with human-based curation or decisions for object segmentation tend to introduce variability and noise into image analysis. Here, we report the development of two complementary segmentation methods, one semi-automated (

Indexed as

automated segmentationchromocentersdeep-learningmicroscopynucleus

Identifiers

PMID36278680
PMCPMC9624336

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.