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CALSCALE:GREGORIAN
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DTSTAMP:20260706T181649Z
UID:ddc221cb-675e-4ef0-b208-33a8df19d4cf
DTSTART:20180709T083000Z
DTEND:20180711T160000Z
DESCRIPTION:This course will focus on computational methods for analysing c
 ellular images and extracting quantitative data from them. The aim of this
  course is to familiarise the participants with computational image analys
 is methodologies\, and to provide hands-on training in running quantitativ
 e analysis pipelines.\n\nOn day 1 we will introduce principles of image pr
 ocessing and analysis\, giving an overview of commonly used algorithms thr
 ough a series of talks and practicals based on [Fiji](http://fiji.sc/)\, a
 n extensible open source software package.\n\nOn day 2\, we will cover tim
 e series processing and cell tracking using [TrackMate](http://imagej.net/
 TrackMate) and advanced image segmentation using [Ilastik](http://ilastik.
 org/). Additionally\, in the afternoon we will run a study design and data
  clinic (sign up will be required) for participants that wish to discuss t
 heir experiments. \n\nOn day 3\, we will describe the open [Icy platform](
 http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy i
 s a next-generation\, user-friendly software offering powerful acquisition
 \, visualisation\, annotation and analysis algorithms for 5D bioimaging da
 ta\, together with unique automation/scripting capabilities (notably via i
 ts graphical programming interface) and tight integration with existing so
 ftware (e.g. ImageJ\, Matlab\, Micro-Manager).\n\nPlease note that if you 
 are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.
 ac.uk/docs/faq/raven/n5) account you will need to book or register your in
 terest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form
 /?event-id=2495657&amp\;course-title=Image%20Analysis%20for%20Biologists).
 ''
LOCATION:Craik-Marshall Building
SUMMARY:Image Analysis for Biologists
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/2495657
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