Interactive Histology of Large-Scale Biomedical Image Stacks

Authors

Won-Ki Jeong; Jens Schneider; Stephen G. Turney; Beverly E. Faulkner-Jones; Dominik Meyer; Ruediger Westermann; R. Clay Reid; Jeff Lichtman; Hanspeter Pfister



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-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.

BibTex entry

@article { 271, title = {Interactive Histology of Large-Scale Biomedical Image Stacks}, journal = {IEEE Transactions on Visualization and Computer Graphics (to appear)}, year = {2010}, author = {Won-Ki Jeong and Jens Schneider and Stephen G. Turney and Beverly E. Faulkner-Jones and Dominik Meyer and Ruediger Westermann and R. Clay Reid and Jeff Lichtman and Hanspeter Pfister} }