[ome-users] OME 2.6.0 Release
igg at nih.gov
Thu Dec 7 17:36:04 GMT 2006
The OME development team is proud to announce the official release of
Download for generic UNIX:
Or, a graphical installation wizard for OS X (universal native PPC/
The OS X installer includes all software dependencies for both
architectures, so its a large (~40 Mb) download.
Thanks to all who contributed, and helped us test the release
We will be updating our website (http://openmicroscopy.org) in the
next day or so to reflect this new official release.
The major changes in this release (with respect to OME 2.4.0) were in
the web interface, access control, and connectivity with other
applications. Reports indicate that this release is also much easier
to install than OME 2.4.0.
The web interface was revamped to make it entirely HTML template-
based. The templates are indexed by the DB, so each user can have
their own collection of templates to view specific types or
collections of information. Since templates are mostly just HTML,
the user interface can be changed without having to program. The UI
allows switching templates on the fly with a drop-down menu.
Access to objects is now controlled through provenance instead of
containership. That's a fancy way to say that objects are now owned
by those who crated them rather than by those who own the objects
they're contained in. The other way was not only more convoluted to
say, it lead to many more inconsistencies.
Two-way integration with Excel (OME-Excel.xls) allows populating
spreadsheets directly from a live OME server using a VisualBasic
library included in src/Excel/OME-Excel.xls. A spreadsheet importer
allows bulk annotation of images as well as populating generic
structured data - either from native Excel documents or tab-delimited
Connectivity with Matlab is much improved and more robust. Images
managed by OME can be accessed from matlab using matlab's imread()
function. Extensive testing and validation of OME Analysis Modules
implemented as functions in matlab (i.e. ".m" files). Most matlab
functions can be used unchanged both in "pure matlab" and in OME
(with appropriate XML wrappers).
Among other features included:
* Better VisBio support.
* Guest access.
* Encryption of passwords in transit over http.
* Graphical OS X Installation "Wizard".
* More robust, easier installation on supported platforms.
* Substantially improved latency and performance for remote access.
* A simplified URL-based API to get OME data as tab-delimited text
tables (basis for OME-Excel.xls).
* Improved import format support
* Simplified and more robust data curation: Deletion of images,
datasets, users and module execution results with the ome commander
* New web and command-line wizards make it easy to convert
spreadsheets into structured OME annotation
* More useable and flexible 3+4 D segmentation with FindSpots.
* Integrated on-line help!
Anticipated major features in our next release - 2.6.1:
* Integration with LDAP (Thanks to Mike McCaughey of Vanderbilt)
* Integration with LOCI's BioFormats (adds support for tons of new
* Improvements to integration with LOCI's VisBio
* Better (slightly) security over http to prevent some forms of
* Allow use of pre-compiled MATLAB modules (i.e. without a MATLAB
* Robust distributed image analysis over many network-connected "nodes".
Much of this functionality is already in CVS (HEAD), so we anticipate
this release will be in early 2007.
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