A Practical Approach for Microscopy Imaging Data Management (MIDM) in Neuroscience

Cambridge, Massachusetts, USA July 09-July 11

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http://doi.ieeecomputersociety.org/10.1109/SSDM.2003.1214986

15th International Conference on Scie ...

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	ASCII Text	x
	Shenglan Zhang, Xufei Qian, Amarnath Gupta, Maryann E. Martone, "A Practical Approach for Microscopy Imaging Data Management (MIDM) in Neuroscience," Scientific and Statistical Database Management, International Conference on, pp. 237, 15th International Conference on Scientific and Statistical Database Management, 2003.

	BibTex	x
	@article{ 10.1109/SSDM.2003.1214986, author = {Shenglan Zhang and Xufei Qian and Amarnath Gupta and Maryann E. Martone}, title = {A Practical Approach for Microscopy Imaging Data Management (MIDM) in Neuroscience}, journal ={Scientific and Statistical Database Management, International Conference on}, volume = {0}, year = {2003}, issn = {1099-3371}, pages = {237}, doi = {http://doi.ieeecomputersociety.org/10.1109/SSDM.2003.1214986}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Scientific and Statistical Database Management, International Conference on TI - A Practical Approach for Microscopy Imaging Data Management (MIDM) in Neuroscience SN - 1099-3371 SP EP A1 - Shenglan Zhang, A1 - Xufei Qian, A1 - Amarnath Gupta, A1 - Maryann E. Martone, PY - 2003 KW - null VL - 0 JA - Scientific and Statistical Database Management, International Conference on ER -

Shenglan Zhang, University of California, San Diego

Xufei Qian, University of California, San Diego

Amarnath Gupta, University of California, San Diego

Maryann E. Martone, University of California, San Diego

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 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 http://ncmir.ucsd.edu/CCDB. This paper describes the MIDM architecture and data mode in MIDM.

Citation:

Shenglan Zhang, Xufei Qian, Amarnath Gupta, Maryann E. Martone, "A Practical Approach for Microscopy Imaging Data Management (MIDM) in Neuroscience," ssdbm, pp.237, 15th International Conference on Scientific and Statistical Database Management, 2003

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