Autonomous quality assurance for virtual staining of label-free tissue
Virtual staining offers faster, label-free alternatives to histochemical staining. To enhance the reliability of virtually-stained images, we introduce an autonomous quality assurance tool to detect staining artifacts and hallucinations with super-human accuracy and strong generalization.
Authors
- William D. Wallace (ORCID: https://orcid.org/0000-0002-9850-9723)
- Tal Keidar Haran (ORCID: https://orcid.org/0000-0003-1931-706X)
- Aydogan Özcan (ORCID: https://orcid.org/0000-0002-0717-683X)
- Luzhe Huang (ORCID: https://orcid.org/0000-0003-3505-0617)
- Nir Pillar (ORCID: https://orcid.org/0000-0003-4979-1440)
- Yuzhu Li (ORCID: https://orcid.org/0009-0007-1570-0324)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.aa111_7
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00