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dc.contributor.advisorDennis Freeman and Peter K. Sorger.en_US
dc.contributor.authorMellen, Jeffrey C. (Jeffrey Clark), 1981-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2005-09-26T20:32:27Z
dc.date.available2005-09-26T20:32:27Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/28451
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.en_US
dc.descriptionIncludes bibliographical references (p. 83).en_US
dc.description.abstractThe 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.en_US
dc.description.statementofresponsibilityby Jeffrey C. Mellen.en_US
dc.format.extent88 p.en_US
dc.format.extent6421933 bytes
dc.format.extent6431613 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleVisualization and management of large biological imaging datasetsen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc57029860en_US


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