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 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.
Originalsprache | Englisch |
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Aufsatznummer | 5613479 |
Seiten (von - bis) | 1386-1395 |
Seitenumfang | 10 |
Fachzeitschrift | IEEE Transactions on Visualization and Computer Graphics |
Jahrgang | 16 |
Ausgabenummer | 6 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2010 |