Paper-reported evidence

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

2025 · Peer-reviewed · version of record

Paper-reported results. The values below come from this source, not an independent rewire.it run.

Open primary paper →DOI: 10.1371/journal.pcbi.1013828

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.

1 verified numerical rows · source checked 2026-09-15

Paper-reportedAuthor's model

Cell-DINO ViT-L

protein localization classification

Reported score: 65.5%
Metric: F1
Dataset / split: HPA-FoV

Self-supervised microscopy embedding pre-trained on HPA-FoV; downstream protein-localization classifier. Dataset-specific pretraining; the paper does not claim a general-purpose foundation model that generalizes beyond these benchmarks.

Table 2, HPA-FoV section, Cell-DINO row, PL columnVerify at source →