Biomedical researchers require effective tools to manage large numbers of 2D and 3D images. Image BOSS is designed to provide a database management system that is easy to use, flexible enough to support varied research disciplines, and powerful enough to handle large sets of images. Researchers organize and select images based on research topics, image metadata, and thumbnails of the images. Within this system, image information is captured from existing images in a Unix-based filesystem, stored in an object oriented database, and presented to the user in a familiar laboratory notebook metaphor. Built upon a commercial object data manager, Image BOSS captures image metadata from the file- system through a scavenging program. The image files remain intact in the filesystem, permitting ordinary access by any other image software. Through the novel use of lab notebook windows, the user is presented with a collection of image thumbnails representing the contents of the filesystem. Based upon an object oriented version of AVW, a comprehensive library of image processing and analysis functions, a wealth of image processing and visualization algorithms are available in the system to build intelligent selection mechanisms. This image database system is being used in preliminary evaluation for several projects at Mayo Foundation. In addition, Image BOSS has been integrated with the ANALYZE software package providing researchers with 'Drag-and Drop' features between their database and image processing/analysis functions.