Evidence map›Paper›PMID 33596821›Full record

ArticleBMC bioinformatics2021

Statistical image processing quantifies the changes in cytoplasmic texture associated with aging in Caenorhabditis elegans oocytes.

Momoko Imakubo, Jun Takayama, Hatsumi Okada, Shuichi Onami

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 30% of its field
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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Germline Stem and Progenitor Cell Aging inFrontiers in cell and developmental biology · 2021
    Review
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

4 authors at 1 institution in 1 country.

Momoko ImakuboDepartment of Computational Science, Graduate School of System Informatics, Kobe University, Kobe, Hyogo, 657-8501, Japan.
Jun TakayamaLaboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, Kobe, Hyogo, 650-0047, Japan.
Hatsumi OkadaLaboratory for Developmental Dynamics, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo, 650-0047, Japan.
Shuichi OnamiDepartment of Computational Science, Graduate School of System Informatics, Kobe University, Kobe, Hyogo, 657-8501, Japan. sonami@riken.jp.ORCID http://orcid.org/0000-0002-8255-1724
RIKEN Center for Biosystems Dynamics Research · JP

Funding

Core Research for Evolutional Science and Technology JPMJCR1511Japan Society for the Promotion of Science JP18H05412
6 · The paper itself

Abstract

backgroundOocyte quality decreases with aging, thereby increasing errors in fertilization, chromosome segregation, and embryonic cleavage. Oocyte appearance also changes with aging, suggesting a functional relationship between oocyte quality and appearance. However, no methods are available to objectively quantify age-associated changes in oocyte appearance.

resultsWe show that statistical image processing of Nomarski differential interference contrast microscopy images can be used to quantify age-associated changes in oocyte appearance in the nematode Caenorhabditis elegans. Max-min value (mean difference between the maximum and minimum intensities within each moving window) quantitatively characterized the difference in oocyte cytoplasmic texture between 1- and 3-day-old adults (Day 1 and Day 3 oocytes, respectively). With an appropriate parameter set, the gray level co-occurrence matrix (GLCM)-based texture feature Correlation (COR) more sensitively characterized this difference than the Max-min Value. Manipulating the smoothness of and/or adding irregular structures to the cytoplasmic texture of Day 1 oocyte images reproduced the difference in Max-min Value but not in COR between Day 1 and Day 3 oocytes. Increasing the size of granules in synthetic images recapitulated the age-associated changes in COR. Manual measurements validated that the cytoplasmic granules in oocytes become larger with aging.

conclusionsThe Max-min value and COR objectively quantify age-related changes in C. elegans oocyte in Nomarski DIC microscopy images. Our methods provide new opportunities for understanding the mechanism underlying oocyte aging.

Indexed as

Caenorhabditis elegansAgingAnimalsCaenorhabditis elegans ProteinsChromosome SegregationOocytesCaenorhabditis elegans ProteinsCaenorhabditis elegansGray level co-occurrence matrixImage texture analysisNomarski DIC microscopyOocyte agingStatistical image processing

Identifiers

PMID33596821
PMCPMC7890843
OpenAlexW3130961072

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.