We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

OMERO: an open source tool for a cross-disciplinary geospatial Odyssey

Formal Metadata

Title
OMERO: an open source tool for a cross-disciplinary geospatial Odyssey
Title of Series
Number of Parts
295
Author
Contributors
License
CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
Imaging data, whether from cameras, satellites, drones, “go-pro”, multibeams, or sonar devices despite linked to spatial data are not embedded in traditional relational databases, rather tend to be stored separately and accessed from one or more directories. As a result, managing images turns to be problematic and leads to cases of duplication, unnecessary use of space in servers or standalone machines, laborious searching and convoluted sharing. We will present OMERO, an open image data management platform for storing, sharing, searching and accessing multimodal imaging data. OMERO is an application originally built for biological microscopy, but which we have shown can also be used for ecological and environmental studies. OMERO also enables the integration with analytical tools such as R, ImageJ, Fiji, KNIME and Matlab, allowing scientists to derive quantitative outputs from large collections of imaging data. After discussing about the challenges we had to face, e.g. the ingestion of geospatial image formats, we will showcase our applications of OMERO with satellite and drone imagery, underwater photography, otholiths slides and the integration of tools for object identification, photo-id catalogues, and pattern analysis.
Keywords