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1.
Methods ; 96: 27-32, 2016 Mar 01.
Article in English | MEDLINE | ID: mdl-26476368

ABSTRACT

High content screening (HCS) experiments create a classic data management challenge-multiple, large sets of heterogeneous structured and unstructured data, that must be integrated and linked to produce a set of "final" results. These different data include images, reagents, protocols, analytic output, and phenotypes, all of which must be stored, linked and made accessible for users, scientists, collaborators and where appropriate the wider community. The OME Consortium has built several open source tools for managing, linking and sharing these different types of data. The OME Data Model is a metadata specification that supports the image data and metadata recorded in HCS experiments. Bio-Formats is a Java library that reads recorded image data and metadata and includes support for several HCS screening systems. OMERO is an enterprise data management application that integrates image data, experimental and analytic metadata and makes them accessible for visualization, mining, sharing and downstream analysis. We discuss how Bio-Formats and OMERO handle these different data types, and how they can be used to integrate, link and share HCS experiments in facilities and public data repositories. OME specifications and software are open source and are available at https://www.openmicroscopy.org.


Subject(s)
Computational Biology/statistics & numerical data , Data Mining/statistics & numerical data , High-Throughput Screening Assays/statistics & numerical data , Information Storage and Retrieval/statistics & numerical data , Software , Computational Biology/methods , Datasets as Topic , High-Throughput Screening Assays/methods , Humans , Information Dissemination , Information Storage and Retrieval/methods , Internet
2.
Mamm Genome ; 26(9-10): 441-7, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26223880

ABSTRACT

Imaging data are used in the life and biomedical sciences to measure the molecular and structural composition and dynamics of cells, tissues, and organisms. Datasets range in size from megabytes to terabytes and usually contain a combination of binary pixel data and metadata that describe the acquisition process and any derived results. The OMERO image data management platform allows users to securely share image datasets according to specific permissions levels: data can be held privately, shared with a set of colleagues, or made available via a public URL. Users control access by assigning data to specific Groups with defined membership and access rights. OMERO's Permission system supports simple data sharing in a lab, collaborative data analysis, and even teaching environments. OMERO software is open source and released by the OME Consortium at www.openmicroscopy.org.


Subject(s)
Information Dissemination , Molecular Imaging , Software , Animals , Internet , Publishing
3.
Nat Methods ; 9(3): 245-53, 2012 Feb 28.
Article in English | MEDLINE | ID: mdl-22373911

ABSTRACT

Data-intensive research depends on tools that manage multidimensional, heterogeneous datasets. We built OME Remote Objects (OMERO), a software platform that enables access to and use of a wide range of biological data. OMERO uses a server-based middleware application to provide a unified interface for images, matrices and tables. OMERO's design and flexibility have enabled its use for light-microscopy, high-content-screening, electron-microscopy and even non-image-genotype data. OMERO is open-source software, available at http://openmicroscopy.org/.


Subject(s)
Database Management Systems , Databases, Factual , Image Interpretation, Computer-Assisted/methods , Information Storage and Retrieval/methods , Models, Biological , Software , User-Computer Interface , Animals , Biology/methods , Computer Simulation , Humans
4.
Appl Opt ; 45(23): 5923-8, 2006 Aug 10.
Article in English | MEDLINE | ID: mdl-16926880

ABSTRACT

We present results from cryogenic tests of volume-phase holographic (VPH) gratings at approximately 100 K. The aims of these tests are to see whether the diffraction efficiency as a function of wavelength is significantly different at a low temperature from that at room temperature and to see how the performance of a VPH grating is affected by a number of thermal cycles. We have completed ten cycles between room temperature and 100 K and find no clear evidence that the diffraction efficiency changes with temperature or with a successive thermal cycle.

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