Interactive Histology of Large-Scale Biomedical Image Stacks


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


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} }