source · discovered

Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy

Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.

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Release 2026-09-16-d74d282221a9 · Record review: discovered

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Technical metadata and extraction receipts

Stable ID: cell-dino-2025

areas: cells-tissues
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12826486/
version: version of record
retrieved at: 2026-09-15T23:37:05Z
doi: 10.1371/journal.pcbi.1013828
publication status: peer_reviewed
year: 2025
artifact sha256: 12a53a78c70b3033c3351cf7afd4da42ebc98bb3281308f07e71e5baffc153a0
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12826486/fullTextXML
artifact retrieved at: 2026-09-16T10:41:06Z
legacy paper: id: cell-dino-2025; title: Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy; year: 2025; publication status: peer_reviewed; version: version of record; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12826486/; primary domain: cells-tissues; retrieved utc: 2026-09-15T23:37:05Z; notes: Primary full text verified via Europe PMC fullTextXML; venue: PLOS Computational Biology; PMC ID: PMC12826486. PL column is F1-score reported on a 0–100 scale; Cell-DINO is a vision encoder plus downstream classifier.; doi: 10.1371/journal.pcbi.1013828
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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