Reproducibility assessment of Dextrusion: A deep learning pipeline for detecting epithelial cell extrusion events.

Condon ND, Wang JX, Felder AA

DOI: 10.1111/jmi.70101
Published: 2026 May 6
Container: Journal of microscopy
Publisher: Not recorded
Open access: unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1111/jmi.70101,
  title = {Reproducibility assessment of Dextrusion: A deep learning pipeline for detecting epithelial cell extrusion events.},
  author = {Condon ND and Wang JX and Felder AA},
  year = {2026},
  journal = {Journal of microscopy},
  doi = {10.1111/jmi.70101},
  url = {https://doi.org/10.1111/jmi.70101}
}

RIS

TY  - JOUR
TI  - Reproducibility assessment of Dextrusion: A deep learning pipeline for detecting epithelial cell extrusion events.
AU  - Condon ND
AU  - Wang JX
AU  - Felder AA
PY  - 2026
JO  - Journal of microscopy
DO  - 10.1111/jmi.70101
UR  - https://doi.org/10.1111/jmi.70101
ER  -

APA

ND, C., JX, W., & AA, F. (2026). Reproducibility assessment of Dextrusion: A deep learning pipeline for detecting epithelial cell extrusion events.. Journal of microscopy. https://doi.org/10.1111/jmi.70101

Source records

pubmed · retrieved 2026-09-25T12:57:28.836Z