Automated pixel-based quantification of porcine circovirus 2 genome in formalin-fixed, paraffin-embedded tissues using in situ hybridisation
These findings demonstrate the reliability of digital pathology tools for objective quantification of PCV2 in lymphoid tissues. Automated scoring enhances consistency, reduces observer bias, and improves diagnostic efficiency in PCV2 research and surveillance.
Authors
- Àlex Cobos (ORCID: https://orcid.org/0009-0005-7308-4035)
- Marina Sibila (ORCID: https://orcid.org/0000-0003-3867-1988)
- Eva Huerta (ORCID: https://orcid.org/0009-0006-0729-8788)
- Laura Garza‐Moreno (ORCID: https://orcid.org/0000-0001-7106-0068)
- David Espigares
- Joaquím Segalés (ORCID: https://orcid.org/0000-0002-1539-7261)
- Mònica Sagrera
- Mònica Pérez (ORCID: https://orcid.org/0000-0002-1715-6410)
- Anna Llorens
- Gema García-Buendía
Institutions
- Universitat Autònoma de Barcelona (ES)
- National University of Computer and Emerging Sciences (PK)
- Centre de Recerca en Sanitat Animal (ES)
- Clínica Diagonal (ES)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2025-08-20
- DOI
- https://doi.org/10.3389/fvets.2025.1609897
- Citations
- 2
- Primary Topic
- Animal Virus Infections Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.39