ArticleClinical and diagnostic pathology2020
Color standardization and optimization in whole slide imaging.
Article in Clinical and diagnostic pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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.
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Who cites it
17 citing papers in PubMed.
- The evolving role of DICOM in digital pathology.Journal of pathology informatics · 2026Review
- Proof-of-Concept Study: Hyperspectral Imaging for Quantification of DKK-3 Expression in Oropharyngeal Carcinoma.Bioengineering (Basel, Switzerland) · 2025Article
- Pathological omics prediction of early and advanced colon cancer based on artificial intelligence model.Discover oncology · 2025Article
- Machine reading and recovery of colors for hemoglobin-related bioassays and bioimaging.Science advances · 2025Article
- VS-FPM: Large-Format, Label-Free Virtual Histopathology Microscopy.BME frontiers · 2025Article
- Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor-Infiltrating Lymphocyte Datasets.Journal of imaging informatics in medicine · 2024Review
- Application of artificial intelligence model in pathological staging and prognosis of clear cell renal cell carcinoma.Discover oncology · 2024Article
- Synergies and Challenges in the Preclinical and Clinical Implementation of Pathology Artificial Intelligence Applications.Mayo Clinic proceedings. Digital health · 2023Review
- Rapid Remote Online Evaluation in Endoscopic Diagnostics: An Analysis of Biopsy-Proven Respiratory Cytopathology.Diagnostics (Basel, Switzerland) · 2023Article
- Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey.Journal of pathology informatics · 2023Review
- Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls.Turk patoloji dergisi · 2023Article
- Data-driven color augmentation for H&E stained images in computational pathology.Journal of pathology informatics · 2023Article
- Recent advances in the standardization of fluorescence microscopy for quantitative image analysis.Biophysical reviews · 2022Review
- Shifting Gears in Precision Oncology-Challenges and Opportunities of Integrative Data Analysis.Biomolecules · 2021Review
- Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology.World journal of gastroenterology · 2021Review
- Contemporary Whole Slide Imaging Devices and Their Applications within the Modern Pathology Department: A Selected Hardware Review.Journal of pathology informatics · 2021Review
- Integrating morphologic and molecular histopathological features through whole slide image registration and deep learning.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Whole slide imaging (WSI) has various uses, including the development of decision support systems, image analysis, education, conferences, and remote diagnostics. It is also used to develop artificial intelligence using machine learning methods. In the clinical setting, however, many issues have hindered the implementation of WSI. These issues are becoming more important as WSI is gaining wider use in clinical practice, particularly with the implementation of artificial intelligence in pathological diagnosis. One of the most important issues is the standardization of color for WSI, which is an important component of digital pathology. In this paper, we review the major factors of color variation and how to evaluate and modify color variation to establish color standardization. There are five major reasons for color variation, which include specimen thickness, staining, scanner, viewer, and display. Recognizing that the color is not standardized is the first step towards standardization, and it is difficult to ascertain whether the appropriate color of the WSI is displayed at the reviewers' end.
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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.