W. Jeong, J. Schneider, S.G. Turney, B. E. Faulkner-Jones, D. Meyer, R. Westermann, C.R. Reid, J. Lichtman, H. Pfister
IEEE Transactions on Visualization and Computer Graphics, 16(6), 1386-1395, (2010)
Our display-aware gigapixel image viewer for biomedical image stacks.
Input image stacks are processed and stored individually (green
rectangles to the left, 360 image stacks each comprising 2.7K × 2K × 16
samples, resulting in over 30 gigapixels), but the globally consistent
view for an arbitrary zoom level and image plane can be composed
on-the-fly (right). The proposed system provides an interactive digital
pathology workflow that allows fast changes in pan, zoom, and focus.
Abstract—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 GPUaccelerated texture compression. With
display-aware processing, only the currently visible image tiles are
fetched and aligned on-thefly, 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.