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DTSTAMP:20260715T221816Z
UID:cac31087-3a5a-4fa6-893d-07c5e92a36a1
DTSTART:20161212T093000Z
DTEND:20161214T160000Z
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 describe 
 the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the
  Institut Pasteur. Icy is a next-generation\, user-friendly software offer
 ing powerful acquisition\, visualization\, annotation and analysis algorit
 hms for 5D bioimaging data\, together with unique automation/scripting cap
 abilities (notably via its graphical programming interface) and tight inte
 gration with existing software (e.g. ImageJ\, Matlab\, Micro-Manager).\n\n
 On day 3\, we will cover time series processing and cell tracking using [T
 rackMate](http://imagej.net/TrackMate). Additionally\, in the afternoon we
  will run a study design and data clinic (sign up will be required) for pa
 rticipants that wish to discuss their experiments.\n\nA timetable is avail
 able [here](http://bioinfotraining.bio.cam.ac.uk/postgraduate/specialized/
 bioinfo-image).\n\nPlease note that if you are not eligible for a Universi
 ty of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) accoun
 t you will need to book or register your interest by linking [here](http:/
 /bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=1879343&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/1879343
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