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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Dennis Freeman and Peter K. Sorger.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Mellen, Jeffrey C. (Jeffrey Clark), 1981-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.</dim:field>
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   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jeffrey C. Mellen.</dim:field>
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   	&lt;Title>Visualization and management of large biological imaging datasets&lt;/Title>
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   	&lt;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.&lt;/Abstract>
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