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Digital imaging in pathology: whole-slide imaging and beyond
Farzad Ghaznavi1, Andrew Evans, Anant Madabhushi
1Department of Pathology and Laboratory Medicine, University of Toronto, Toronto, Ontario, Canada. farzad.ghaznavi@mail.utoronto.ca
Annual Review of Pathology
|November 20, 2012
Summary
Digital pathology uses advanced imaging hardware and computational processing to digitize glass slides rapidly. This technology enables detailed cell and protein analysis, integrating microscopic data with genomic assays for research and clinical applications.
Area of Science:
- Pathology
- Biomedical Imaging
- Computational Biology
Background:
- Digital imaging in pathology has rapidly advanced due to improved hardware and computational power.
- Current technology allows for rapid digitization of entire glass slides at high resolution.
Purpose of the Study:
- To review the emerging field of digital pathology.
- To explore methods and analytic approaches for digital pathology in clinical and research settings.
Main Methods:
- Digitization of entire glass slides.
- Fluorescence and multispectral imaging.
- Development of computational algorithms for cytometric analysis.
Main Results:
- Whole slide imaging is achievable in approximately 60 seconds.
- Computational algorithms enable detailed subcellular analysis of cells and proteins.
- Digital imaging facilitates integration of image features with high-dimensional genomic assays.
Conclusions:
- Digital pathology represents a significant shift, moving microscopic analysis into the digital age.
- Emerging methods and analytics are paving the way for digital pathology's application in clinical care and research.
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