By Topic

A practical approach for microscopy imaging data management (MIDM) in neuroscience

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Shenglan Zhang ; National Center for Microscopy & Imaging Res., California Univ., San Diego, CA, USA ; Xufei Qian ; Gupta, A. ; Martone, M.E.

Current data management approaches can easily handle the relatively simple requirements for molecular biology research but not the more varied and sophisticated microscopy imaging data in neuroscience research. We developed a project-oriented experimental imaging data management system through integration of the object-relational Oracle DBMS (database management system) and a distributed file management system, the storage resource broker (SRB). The data model we developed on Oracle9i supports semantic and analytical queries and image content mining. The MIDM provides comprehensive descriptive, structural, spatial and administrative information on microscopy image datasets. The current MIDM is web accessible at This paper describes the MIDM architecture and data mode in MIDM.

Published in:

Scientific and Statistical Database Management, 2003. 15th International Conference on

Date of Conference:

9-11 July 2003