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DTSTAMP:20260618T091832Z
UID:5c952ac4-24c2-455b-b2db-3e576762bff5
DTSTART:20171207T093000Z
DTEND:20171207T170000Z
DESCRIPTION:[The Open Microscopy Environment](https://www.openmicroscopy.or
 g/) (OME) is an open-source software project that develops tools that enab
 le access\, analysis\, visualization\, sharing and publication of biologic
 al image data.\n\nOME has three components:\n\n* OME-TIFF\, standardised f
 ile format and data model\;\n* Bio-Formats\, a software library for readin
 g proprietary image file formats\; and\n* OMERO\, a software platform for 
 image data management and analysis.\n\nIn this one day course\, we will pr
 esent the OMERO platform\, and show how to import\, organise\, view\, sear
 ch\, annotate and publish imaging data. Additionally\, we will briefly int
 roduce how to use a variety of processing tools with OMERO.\n\nThis course
  is organized alongside a one day course on Biological Imaging Data Proces
 sing for Data Scientists. More information on this event are available [he
 re](https://training.csx.cam.ac.uk/bioinformatics/event/2280783).\n\nThis 
 course will be delivered by members of the OMERO team. The OME project is 
 supported by BBSRC and Wellcome Trust. \n\nPlease note that if you are not
  eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/d
 ocs/faq/raven/n5) account you will need to book or register your interest 
 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event
 -id=2239247&amp\;course-title=Biological%20imaging%20data%20management%20f
 or%20life%20scientists).''
LOCATION:Craik-Marshall Building
SUMMARY:Biological Imaging Data Management for Life Scientists
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/2239247
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