Automated pixel-based quantification of porcine circovirus 2 genome in formalin-fixed, paraffin-embedded tissues using <i>in situ</i> hybridisation.

ABSTRACT:

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 = 0.9

SUBMITTER: Sagrera M 

PROVIDER: S-EPMC12405158 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature