standards > model/format > DOI:10.25504/FAIRsharing.cq8tg2


ready Open Microscopy Environment - Tagged Image File Format

Abbreviation: OME-TIFF


General Information
OME-TIFF is a standardized file format for multidimensional image data. OME-TIFF was created to maximize the respective strengths of OME-XML and TIFF. It takes advantage of the rich metadata defined in OME-XML while retaining the pixels in multi-page TIFF format for compatibility with many more applications.



How to cite this record FAIRsharing.org: OME-TIFF; Open Microscopy Environment - Tagged Image File Format; DOI: https://doi.org/10.25504/FAIRsharing.cq8tg2; Last edited: May 20, 2019, 10:19 a.m.; Last accessed: Nov 15 2019 10:34 a.m.


This record is maintained by hflynn  ORCID , mikerossner  ORCID , joshmoore  ORCID  and sbesson  ORCID

Record updated: May 20, 2019, 10:18 a.m. by The FAIRsharing Team.

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Publications

Metadata matters: access to image data in the real world

Melissa Linkert, Curtis T. Rueden, Chris Allan, Jean-Marie Burel, Will Moore, Andrew Patterson, Brian Loranger, Josh Moore, Carlos Neves, Donald MacDonald, Aleksandra Tarkowska, Caitlin Sticco, Emma Hill, Mike Rossner, Kevin W. Eliceiri, and Jason R. Swedlow
The Journal of Cell Biology 2010

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The Open Microscopy Environment (OME) Data Model and XML File: Open Tools for Informatics and Quantitative Analysis in Biological Imaging

Goldberg, I., C. Allan, J.-M. Burel, D. Creager, A. Falconi, H. Hochheiser, J. Johnston, J. Mellen, P.K. Sorger, and J.R. Swedlow.
Genome Biology 2005

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Implementing Databases (7)
JCB DataViewer
The JCB DataViewer is an image hosting and visualization platform for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the "scores" from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard.

OMERO
OMERO is client-server software for visualization, management and analysis of biological microscope images.

Image Data Resource
IDR is a prototype platform for publishing, mining and integrating bioimaging data at scale, following the Euro-BioImaging/ELIXIR imaging strategy using the OMERO and Bio-Formats open source software built by the Open Microscopy Environment. Deployed on an OpenStack cloud running on the EMBL-EBI’s Embassy resource, it includes image data linked to independent studies from genetic, RNAi, chemical, localisation and geographic high content screens, super-resolution microscopy, and digital pathology.

Curie Image Database
In addition to data used in on-going collaborations, this database host images from France Bio Imaging microscopy facility with public access either associated to publications, either that make interest from an image processing point of view (such as challenges for developpers or for use in metrology). This resource requires a log in account, however some projects are available with a guest account.

Liverpool CCI OMERO
A repository of image / SPM data to support users of the Centre for Cell Imaging, University of Liverpool.

Natural History Museum Data Portal
The British natural history collection is one of the most important in the world, documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented. The portal's main dataset consists of specimens from the Museum's collection database, with over 4 million records from the Museum’s Palaeontology, Mineralogy, Botany, Entomology and Zoology collections.

Blackfynn Discover
Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.

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