High-resolution pathology images provide rich information about the morphological and functional characteristics of biological
systems, and are transforming the field of pathology into a new era. To facilitate the use of digital pathology
imaging for biomedical research and clinical diagnosis, it is essential to manage and query both whole slide images (WSI)
and analytical results generated from images, such as annotations made by humans and computed features and classifications
made by computer algorithms. There are unique requirements on modeling, managing and querying whole slide
images, including compatibility with standards, scalability, support of image queries at multiple granularities, and support
of integrated queries between images and derived results from the images. In this paper, we present our work on developing
the Pathology Image Database System (PIDB), which is a standard oriented image database to support retrieval of
images, tiles, regions and analytical results, image visualization and experiment management through a unified interface
and architecture. The system is deployed for managing and querying whole slide images for In Silico brain tumor studies at
Emory University. PIDB is generic and open source, and can be easily used to support other biomedical research projects.
It has the potential to be integrated into a Picture Archiving and Communications System (PACS) with powerful query
capabilities to support pathology imaging.