ArticleJournal of pathology informatics2013
OpenSlide: A vendor-neutral software foundation for digital pathology.
Article in Journal of pathology informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 270 papers.
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.
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.
Who cites it
270 citing papers in PubMed.
- Serial H&E Pathology Reveals Progression-Associated Nuclear Size Drift as a Longitudinal Digital Readout of Bladder Cancer Evolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Automated Bergmann-Kliesch Score assessment in testicular biopsies using artificial intelligence-based whole-slide image analysis: a retrospective monocentric development and validation study.Basic and clinical andrology · 2026Article
- Mantle cell lymphoma artificial intelligence prognostic index using hematoxylin and eosin histology.Leukemia · 2026Article
- AI for prognostic assessment of diffuse large B-cell lymphoma using H&E whole-slide images.HemaSphere · 2026Article
- DeepPathway: predicting pathway expression from histopathology images.Bioinformatics (Oxford, England) · 2026Article
- V7-DiVA: a feature-based Deep MIL colorectal whole-slide histopathology research platform with blinded external image-input validation.Journal of translational medicine · 2026Article
- Converting whole slide images from DICOM to ScanScope Virtual Slide-like TIFF: a practical workaround for teaching, research, and collaborative diagnosis.Virchows Archiv : an international journal of pathology · 2026Article
- The PAR dataset: Prostate biopsy whole slide images from an underrepresented Middle Eastern population.Scientific data · 2026Article
- CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images.Nature protocols · 2026Review
- Translation of frozen sections into FFPE images for skin cancer resection margins using generative AI.NPJ digital medicine · 2026Article
- Dissecting and directing pathology foundation models.bioRxiv : the preprint server for biology · 2026Article
- Machine Learning-Enabled Quantification of Hepatocellular Necrosis in the Liver After Lethal Marburg and Ebola Virus Exposures.The Journal of infectious diseases · 2026Article
- Deep learning-based prediction of gene expression from histopathology identifies NR5A1 as a candidate biomarker and druggable target in high-grade serous ovarian carcinoma.Journal of ovarian research · 2026Article
- Multiplexed targeted mRNA profiling of alcohol-related liver disease reveals stage-specific dysregulation of signaling pathways.Molecular biology reports · 2026Article
- Scalable and Efficient Deep Learning-Based Pipeline for Mitotic Detection and Analysis in Pathology Images.Cancers · 2026Article
- Article
- Quantitative 3D histology reveals localized immune remodeling during early pancreatic cancer progression.Cell press blue · 2026Article
- Virtual multiplex staining of the pancreatic islets across type 1 diabetes progression using a Schrödinger bridge.bioRxiv : the preprint server for biology · 2026Article
- Whole organism 3D mapping reveals universal branching topology and biophysical optimization governs vascular and nervous system development.bioRxiv : the preprint server for biology · 2026Article
- Early detection of metastatic risk in primary cutaneous melanoma using weakly supervised learning.Scientific reports · 2026Article
210 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Although widely touted as a replacement for glass slides and microscopes in pathology, digital slides present major challenges in data storage, transmission, processing and interoperability. Since no universal data format is in widespread use for these images today, each vendor defines its own proprietary data formats, analysis tools, viewers and software libraries. This creates issues not only for pathologists, but also for interoperability. In this paper, we present the design and implementation of OpenSlide, a vendor-neutral C library for reading and manipulating digital slides of diverse vendor formats. The library is extensible and easily interfaced to various programming languages. An application written to the OpenSlide interface can transparently handle multiple vendor formats. OpenSlide is in use today by many academic and industrial organizations world-wide, including many research sites in the United States that are funded by the National Institutes of Health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.