ArticleJournal of medical imaging (Bellingham, Wash.)2014
Color accuracy and reproducibility in whole slide imaging scanners.
Article in Journal of medical imaging (Bellingham, Wash.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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Who cites it
19 citing papers in PubMed.
- The critical role of standards for AI in digital pathology: Digital Pathology Association Concept Paper.Journal of pathology informatics · 2026Article
- The evolving role of DICOM in digital pathology.Journal of pathology informatics · 2026Review
- Evaluating the robustness of slide-level AI predictions on out-of-focus whole slide images: A retrospective observational study.Journal of pathology informatics · 2025Article
- Pathological omics prediction of early and advanced colon cancer based on artificial intelligence model.Discover oncology · 2025Article
- Application of artificial intelligence model in pathological staging and prognosis of clear cell renal cell carcinoma.Discover oncology · 2024Article
- Algorithm-assisted diagnosis of Hirschsprung's disease - evaluation of robustness and comparative image analysis on data from various labs and slide scanners.Diagnostic pathology · 2024Article
- Synergies and Challenges in the Preclinical and Clinical Implementation of Pathology Artificial Intelligence Applications.Mayo Clinic proceedings. Digital health · 2023Review
- Improved artificial intelligence discrimination of minor histological populations by supplementing with color-adjusted images.Scientific reports · 2023Article
- Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology.Nature communications · 2023Article
- Wide-Field Pixel Super-Resolution Colour Lensfree Microscope for Digital Pathology.Frontiers in oncology · 2021Article
- Color standardization and optimization in whole slide imaging.Clinical and diagnostic pathology · 2020Article
- Colorimetrical uncertainty of a hyperspectral imaging microscopy system for assessing whole-slide imaging devices.Biomedical optics express · 2020Article
- Display Characteristics and Their Impact on Digital Pathology: A Current Review of Pathologists' Future "Microscope".Journal of pathology informatics · 2020Review
- HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides.JCO clinical cancer informatics · 2019Article
- Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study.Scientific reports · 2018Article
- [Implementation of the "Digital Pathology in Diagnostics" guideline : Support systems and their functionality].Der Pathologe · 2018Review
- Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data.PloS one · 2018Article
- A quantitative approach to evaluate image quality of whole slide imaging scanners.Journal of pathology informatics · 2016Article
- Staining correction in digital pathology by utilizing a dye amount table.Journal of digital imaging · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose a workflow for color reproduction in whole slide imaging (WSI) scanners, such that the colors in the scanned images match to the actual slide color and the inter-scanner variation is minimum. We describe a new method of preparation and verification of the color phantom slide, consisting of a standard IT8-target transmissive film, which is used in color calibrating and profiling the WSI scanner. We explore several International Color Consortium (ICC) compliant techniques in color calibration/profiling and rendering intents for translating the scanner specific colors to the standard display (sRGB) color space. Based on the quality of the color reproduction in histopathology slides, we propose the matrix-based calibration/profiling and absolute colorimetric rendering approach. The main advantage of the proposed workflow is that it is compliant to the ICC standard, applicable to color management systems in different platforms, and involves no external color measurement devices. We quantify color difference using the CIE-DeltaE2000 metric, where DeltaE values below 1 are considered imperceptible. Our evaluation on 14 phantom slides, manufactured according to the proposed method, shows an average inter-slide color difference below 1 DeltaE. The proposed workflow is implemented and evaluated in 35 WSI scanners developed at Philips, called the Ultra Fast Scanners (UFS). The color accuracy, measured as DeltaE between the scanner reproduced colors and the reference colorimetric values of the phantom patches, is improved on average to 3.5 DeltaE in calibrated scanners from 10 DeltaE in uncalibrated scanners. The average inter-scanner color difference is found to be 1.2 DeltaE. The improvement in color performance upon using the proposed method is apparent with the visual color quality of the tissue scans.
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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.