Format

Send to:

Choose Destination
See comment in PubMed Commons below
IEEE Trans Vis Comput Graph. 2010 Nov-Dec;16(6):1386-95. doi: 10.1109/TVCG.2010.168.

Interactive histology of large-scale biomedical image stacks.

Author information

  • 1Harvard University, USA. wkjeong@seas.harvard.edu

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.

PMID:
20975179
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for IEEE Computer Society
    Loading ...
    Write to the Help Desk