ArticleFrontiers in veterinary science2025
Automated pixel-based quantification of porcine circovirus 2 genome in formalin-fixed, paraffin-embedded tissues using
Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Efficacy of a Novel PCV2d andVaccines · 2025Article
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10 authors.
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Abstract
Introduction: Detection of porcine circovirus 2 (PCV2) in lymphoid tissues is essential for diagnostic and research purposes. Methods: This study developed an automated pixel classifier to quantify the PCV2 genome using RNAscope Results: A strong correlation was observed between visual and digital ISH scoring ( 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.
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