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<p>Pathology laboratories face increasing workloads and staff shortages, making analytical steps such as embedding critical. Manual embedding is time-consuming and operator-dependent, contributing to diagnostic delays and errors that can be costly or even fatal. Automation offers a potential solution, yet adoption remains limited due to cost and technical deployment constraints. In this work, a semi-automated embedding system was tested in a high-volume academical hospital over two weeks. A total of 1053 formalin-fixed paraffin-embedded (FFPE) blocks (287 skin biopsies, 766 surgical specimens) were processed. Performance was compared to manual embedding in terms of embedding time, rates of deeper sections, and the need for re-embedding. The semi-automated system achieved an average embedding time of 37&#xa0;s per block (48&#xa0;s for skin biopsies; 32&#xa0;s for surgical specimens), compared to 70&#xa0;s manually, corresponding to a 47% time reduction. Workflow efficiency improved progressively during testing with minimal requests for deeper sections and re-embedding. Automation of the embedding also reduced paraffin waste and workstation cleanup time. Semi-automated embedding significantly improves efficiency, reduces manual workload, and mitigates risks associated with analytical errors, particularly in skin pathology. By reducing embedding times and enabling more efficient personnel allocation, this technology addresses growing demands in pathology laboratories and enhances patient safety. Despite initial investment requirements, its potential for cost savings and workflow optimization supports broad adoption in modern pathology laboratories.</p>

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Pilot test for the semi-automated embedding in the pathology laboratory at the University and Hospital Trust of Padua

  • 期刊论文

  • 发表日期：

    2026年5月29日

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  • Albino Eccher,
  • Stefano Marletta,
  • Angela Guerriero,
  • Francesco Fortarezza,
  • Marco Maria Baron,
  • Viscardo Paolo Fabbri,
  • Fabio Pagni,
  • Marta Sbaraglia,
  • Angelo Paolo Dei Tos

摘要

Pathology laboratories face increasing workloads and staff shortages, making analytical steps such as embedding critical. Manual embedding is time-consuming and operator-dependent, contributing to diagnostic delays and errors that can be costly or even fatal. Automation offers a potential solution, yet adoption remains limited due to cost and technical deployment constraints. In this work, a semi-automated embedding system was tested in a high-volume academical hospital over two weeks. A total of 1053 formalin-fixed paraffin-embedded (FFPE) blocks (287 skin biopsies, 766 surgical specimens) were processed. Performance was compared to manual embedding in terms of embedding time, rates of deeper sections, and the need for re-embedding. The semi-automated system achieved an average embedding time of 37 s per block (48 s for skin biopsies; 32 s for surgical specimens), compared to 70 s manually, corresponding to a 47% time reduction. Workflow efficiency improved progressively during testing with minimal requests for deeper sections and re-embedding. Automation of the embedding also reduced paraffin waste and workstation cleanup time. Semi-automated embedding significantly improves efficiency, reduces manual workload, and mitigates risks associated with analytical errors, particularly in skin pathology. By reducing embedding times and enabling more efficient personnel allocation, this technology addresses growing demands in pathology laboratories and enhances patient safety. Despite initial investment requirements, its potential for cost savings and workflow optimization supports broad adoption in modern pathology laboratories.