Evidence map›Paper›PMID 40142539›Full record

ArticleMicroorganisms2025

Computational Analysis of Morphological Changes in

Athira Venugopal, Doron Steinberg, Ora Moyal, Shira Yonassi, Noga Glaicher, Eliraz Gitelman, Moshe Shemesh, Moshe Amitay

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  2. FFoods (Basel, Switzerland) · 2026
    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

8 authors.

Athira VenugopalBiofilm Research Laboratory, Institute of Biomedical and Oral Research (IBOR), Faculty of Dental Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.ORCID 0009-0004-2482-6787
Doron SteinbergBiofilm Research Laboratory, Institute of Biomedical and Oral Research (IBOR), Faculty of Dental Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.
Ora MoyalDepartment of Bioinformatics, Jerusalem College of Technology, Jerusalem 9372115, Israel.
Shira YonassiDepartment of Bioinformatics, Jerusalem College of Technology, Jerusalem 9372115, Israel.
Noga GlaicherDepartment of Bioinformatics, Jerusalem College of Technology, Jerusalem 9372115, Israel.
Eliraz GitelmanDepartment of Bioinformatics, Jerusalem College of Technology, Jerusalem 9372115, Israel.
Moshe ShemeshDepartment of Food Quality and Safety, Institute for Postharvest Technology and Food Sciences, Agricultural Research Organization, Volcani Center, Rishon LeZion 50250, Israel.ORCID 0000-0002-3854-6151
Moshe AmitayDepartment of Bioinformatics, Jerusalem College of Technology, Jerusalem 9372115, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shape and size often define the characteristics of individual microorganisms. Hence, characterizing cell morphology using computational image analysis can aid in the accurate, quick, unbiased, and reliable identification of bacterial morphology. Modifications in the cell morphology of

Indexed as

cell lengthdeep learningimage classificationLactiplantibacillus plantarummorphologyobject detection

Identifiers

PMID40142539
PMCPMC11945700

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.