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Massachusetts Institute of Technology

Visualization and management of large biological imaging datasets

Abstract

dc:description.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.

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 × 1

Rights

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.
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

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Mellen, Jeffrey C. (Jeffrey Clark), 1981-. Visualization and management of large biological imaging datasets. Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28451