Journal
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Volume 16, Issue 6, Pages 1386-1395Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2010.168
Keywords
Gigapixel viewer; biomedical image processing; GPU; texture compression
Categories
Funding
- National Science Foundation [PHY-0835713]
- National Institutes of Health [1P30NS062685-01, R01 NS020364-23]
- Gatsby Charitable Foundation [GAT3036-Connectomic Consortium]
- Direct For Mathematical & Physical Scien
- Division Of Physics [0835713] Funding Source: National Science Foundation
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Histology is the study of the structure of biological tissue using microscopy techniques. As digital imaging technology advances, high resolution microscopy of large tissue volumes is becoming feasible; however, new interactive tools are needed to explore and analyze the enormous datasets. In this paper we present a visualization framework that specifically targets interactive examination of arbitrarily large image stacks. Our framework is built upon two core techniques: display-aware processing and GPU-accelerated texture compression. With display-aware processing, only the currently visible image tiles are fetched and aligned on-the-fly, reducing memory bandwidth and minimizing the need for time-consuming global pre-processing. Our novel texture compression scheme for GPUs is tailored for quick browsing of image stacks. We evaluate the usability of our viewer for two histology applications: digital pathology and visualization of neural structure at nanoscale-resolution in serial electron micrographs.
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