2026-04-17T15:02:28Zhttps://recercat.cat/oai/requestoai:recercat.cat:20.500.12327/47962025-10-25T05:49:40Zcom_2072_4428com_2072_4427col_2072_487898
RECERCAT
author
Sagrera, Mònica
author
Cobos, Àlex
author
Garza-Moreno, Laura
author
Pérez Maíllo, Mónica
author
García-Buendía, Gema
author
Huerta Medina, Eva
author
Llorens Segalés, Anna Maria
author
Espigares, David
author
Sibila, Marina
author
Segalés, Joaquim
other
Producció Animal
group
Sanitat Animal
2025-10-25T05:49:40Z
2025-10-25T05:49:40Z
2025-08-20
Sagrera, Mònica, Àlex Cobos, Laura Garza-Moreno, Mónica Pérez, Gema García-Buendía, Eva Huerta, Anna Maria Llorens, David Espigares, Marina Sibila, and Joaquim Segalés. 2025. “Automated Pixel-based Quantification of Porcine Circovirus 2 Genome in Formalin-fixed, Paraffin-embedded Tissues Using in Situ Hybridisation.” Frontiers in Veterinary Science 12 (August). https://doi.org/10.3389/fvets.2025.1609897.
2297-1769
http://hdl.handle.net/20.500.12327/4796
https://doi.org/10.3389/fvets.2025.1609897
Introduction: Detection of porcine circovirus 2 (PCV2) in lymphoid tissues is essential for diagnostic and research purposes. In situ hybridisation (ISH) enables the localisation of viral genomes in tissue sections but is traditionally assessed visually, which may introduce subjectivity.
Methods: This study developed an automated pixel classifier to quantify the PCV2 genome using RNAscope® ISH technology. Four lymphoid tissues (tonsils and tracheobronchial, mesenteric, and superficial inguinal lymph nodes) from 66 experimentally inoculated pigs were analysed. PCV2 labelling was assessed both visually (scores 0–3) and digitally (percentage of labelled area).
Results: A strong correlation was observed between visual and digital ISH scoring (ρ = 0.96), allowing the definition of digital thresholds corresponding to visual scores. Among all tissues, TBLN exhibited the highest PCV2 labelling. This tissue was further evaluated by PCV2 quantitative polymerase chain reaction (qPCR), showing a high correlation with digital ISH results (ρ = 0.85).
Discussion: 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.
eng
Attribution 4.0 International
Automated pixel-based quantification of porcine circovirus 2 genome in formalin-fixed, paraffin-embedded tissues using in situ hybridisation
info:eu-repo/semantics/article