Interactive Histology of Large-Scale Biomedical Image Stacks
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- Interactive Histology of Large-Scale Biomedical Image Stacks
- Jeong, Won-Ki; Schneider, Jens; Turney, Stephen G.; Faulkner-Jones, Beverly E.; Meyer, Dominik; Westermann, Ruediger; Reid, R. Clay; Lichtman, Jeff; Pfister, Hanspeter
- biomedical image processing; Gigapixel viewer; GPU; texture compression
- Issue Date
- IEEE COMPUTER SOC
- IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.16, no.6, pp.1386 - 1395
- 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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