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Visualization and management of large biological imaging datasets

Author(s)
Mellen, Jeffrey C. (Jeffrey Clark), 1981-
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Dennis Freeman and Peter K. Sorger.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
The Open Microscopy Environment (OME) image browser enables biologists to quickly analyze, manipulate and modify large imaging datasets. The browser includes a variety of features that facilitate image classification, annotation, visualization, and organization. The browser displays image metadata using a variety of techniques, including visual cues, context-sensitive overlays, and color-coding. The application explicitly supports visualization of screening datasets, but also supports multidimensional images, as well as standalone images. When integrated with the rest of the applications of the OME client software, the browser allows users to view images in greater resolution, analyze multiple dimensions, and in future releases will support analysis routines.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
 
Includes bibliographical references (p. 83).
 
Date issued
2004
URI
http://hdl.handle.net/1721.1/28451
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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