Evidence map›Paper›PMID 42213137›Full record

ArticleVirchows Archiv : an international journal of pathology2026

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

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

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Article in Virchows Archiv : an international journal of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Albino EccherPathology Unit, Department of Laboratory Medicine and Anatomical Pathology, AOU Policlinico di Modena, Modena, Italy.
Stefano MarlettaDepartment of Biomedical Science, Humanitas University, Milan, Italy. stefano.marletta92@gmail.com.ORCID http://orcid.org/0000-0001-7881-8767
Angela GuerrieroSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Francesco FortarezzaSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Marco Maria BaronDivision of Pathology, Humanitas Istituto Clinico Catanese, Catania, 95125, Italy.
Viscardo Paolo FabbriPathology Unit, Department of Laboratory Medicine and Anatomical Pathology, AOU Policlinico di Modena, Modena, Italy.
Fabio PagniSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Marta SbaragliaSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Angelo Paolo Dei TosSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AutomationCost-savingEmbeddingPatient careRisk-reduction

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.