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DTSTAMP:20260618T091346Z
UID:d0e6e610-0f5a-41d8-b526-1c4e644f1888
DTSTART:20171208T093000Z
DTEND:20171208T170000Z
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 transition from manual data pro
 cessing to automated processing workflows. We will introduce how to write 
 applications against the OMERO API\, how to integrate a variety of process
 ing tools with OMERO and how to automatically generate output ready for pu
 blication.\n\nThis course is organized alongside a one day course on Biolo
 gical Imaging Data Management for Life Scientists. More information on thi
 s event are available [here](https://training.csx.cam.ac.uk/bioinformatics
 /event/2239247).\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](h
 ttp://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book o
 r register your interest by linking [here](http://bioinfotraining.bio.cam.
 ac.uk/booking-form/?event-id=2280783&amp\;course-title=Biological%20imagin
 g%20data%20management%20for%20data%20scientists).''
LOCATION:Craik-Marshall Building
SUMMARY:Biological Imaging Data Processing for Data Scientists
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/2280783
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