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Related Experiment Videos

The interactive Web-based histology atlas system.

J A Evans1, U Wagner, C M Santos

  • 1Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, Maryland, MD 20892-5624, USA.

Oncogene
|March 14, 2000
PubMed
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This study introduces a web-based interactive histology atlas for cancer research. It allows researchers to access and compare high-resolution histology images online, aiding in the understanding of cancer pathology.

Area of Science:

  • Oncology
  • Pathology
  • Bioinformatics

Background:

  • Investigating human cancer molecular pathways often utilizes animal models, including transgenic and knockout mice.
  • Evaluating organ integrity and histology is crucial after gene alteration or inactivation in these models.
  • Current print-based scientific publications limit the display and comparison of high-quality histological images.

Purpose of the Study:

  • To present a web-based interactive histology atlas for accessing annotated, high-resolution histology images.
  • To leverage the internet for improved dissemination and analysis of histological data in cancer research.
  • To facilitate communication and consensus-building among researchers and pathologists.

Main Methods:

  • Development and implementation of a web-based interactive platform.

Related Experiment Videos

  • Integration of annotated, high-resolution histology images.
  • Utilizing internet capabilities for data retrieval and interactive features.

    • Main Results:

    • A functional web-based interactive histology atlas (http://histology.nih.gov) is now available.
    • The atlas enables easy retrieval and comparison of histology images across different studies and publications.
    • The platform supports enhanced communication and collaboration among research groups.

    Conclusions:

    • The interactive histology atlas addresses limitations of print media for disseminating and analyzing complex histological data.
    • This resource facilitates a deeper understanding of cancer pathology and aids in developing consensus among pathologists.
    • The web-based approach promotes efficient data sharing and collaborative research in oncology.