Massachusetts Institute of Technology
Visualization and management of large biological imaging datasets
Abstract
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.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2004
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Mellen, Jeffrey C. (Jeffrey Clark), 1981-
- Advisor dc:contributor.advisor
-
- Dennis Freeman and Peter K. Sorger.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- 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.
- Licence dc:rights.uri
- Language dc:language.iso
- en_US
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/28451
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/28451