Evidence map›Paper›PMID 40450068›Full record

ArticleVirchows Archiv : an international journal of pathology2026

Converting whole slide images from DICOM to ScanScope Virtual Slide-like TIFF: a practical workaround for teaching, research, and collaborative diagnosis.

Bertrand Chauveau

Abstract read
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In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Bertrand ChauveauService de Pathologie, Hôpital Pellegrin, CHU de Bordeaux, Place Amélie Raba Léon, F-33000, Bordeaux, France. bertrand.chauveau@chu-bordeaux.fr.ORCID https://orcid.org/0000-0002-3250-4604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathology Departments in their digitalization transition are encouraged to adopt the Digital Imaging and Communications in Medicine (DICOM) format for routine diagnosis. However, DICOM adoption is still emerging, with several viewing platforms not supporting this format, which limits its use for collaborative diagnosis, teaching, and research purposes. In this manuscript, an open-source, Python-based solution, with detailed explanations, is proposed to convert DICOM whole slide image files obtained from various vendors to ScanScope Virtual Slide (SVS)-like files, matching the format used by Aperio, Leica Biosystems. The conversion is lossless, preserving native image quality, and supports single-plane brightfield and singleplex fluorescence images. The native Python script is presented, as well as a Windows- and macOS-compatible executable designed for a routine usage without coding experience. This solution was tested with 70 DICOM slides coming from five major vendors (Leica, 3DHistech, Roche, Hamamatsu, and Olympus/Evident). The mean time for slide conversion was about 18 s for a file of approximately 1 gigabyte with an institutional workstation, but could be reduced to about 3 s with a more efficient workstation. Converted WSI were successfully opened with three SVS-compatible software programs. The solution has been successfully implemented in the author's institution, and address a practical issue currently faced by pathologists and researchers in sharing and using their digitized slides.

Indexed as

Image Interpretation, Computer-AssistedImage Processing, Computer-AssistedPathology, ClinicalHumansSoftwareTelepathologyConversionDICOMDigital pathologyWhole slide image

Identifiers

What OpenQuestion holds

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Registered trials

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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.