Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives
Open accessAbstract
Almost 20 years have passed since the commercial introduction of whole-slide imaging (WSI) scanners. During this time, the creation of various WSI devices with the ability to digitize an entire glass slide has transformed the field of pathology. Parallel advances in computational technology and storage have permitted rapid processing of large-scale WSI datasets. This article provides an overview of important past and present efforts related to WSI. An account of how the virtual microscope evolved from the need to visualize and manage satellite data for earth science applications is provided. The article also discusses important milestones beginning from the first WSI scanner designed by Bacus to the Food and Drug Administration approval of the first digital pathology system for primary diagnosis in surgical pathology. As pathology laboratories commit to going fully digitalize, the need has emerged to include WSIs into an enterprise-level vendor-neutral archive (VNA). The different types of VNAs available are reviewed as well as how best to implement them and how pathology can benefit from participating in this effort. Differences between traditional image algorithms that extract pixel-, object-, and semantic-level features versus deep learning methods are highlighted. The need for large-scale data management, analysis, and visualization in computational pathology is also addressed.
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- Authors
- Pantanowitz, L., Sharma, A., Carter, A. B., Kurc, T., Sussman, A., & Saltz, J.
- Affiliations
- University of Pittsburgh Medical Center (US)
- Emory University (US)
- Children's Healthcare of Atlanta (US)
- University of Maryland, College Park (US)
- Stony Brook University (US)
- Corresponding author
- Pantanowitz, Liron
- Venue
- Journal of Pathology Informatics
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 9
- Issue
- 1
- Pages
- 40
- ISSN
- 2153-3539 (ISSN-L)
- PMC
- PMC6289005
- OpenAlex
- W2900654702
- Cited by
- 282
- References
- 59
- Citations by year
- 2026: 44 · 2025: 42 · 2024: 46 · 2023: 36 · 2022: 39 · 2021: 38 · 2020: 28 · 2019: 9
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Pathology Informatics (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institutes of Health (5u24ca215109-05)
- National Cancer Institute (U24CA180924, U24CA215109,)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Keywords
- digital pathology, whole slide imaging, virtual microscopy, surgical pathology diagnosis, image feature extraction, image visualization
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