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VERSION:2.0
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BEGIN:VEVENT
DTSTAMP:20260618T094853Z
UID:dccaf42c-a5df-4d20-af65-17d1696aea75
DTSTART:20170626T083000Z
DTEND:20170628T150000Z
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\, visualisation\, 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). In the afternoon\, we will present
  the [Image Data Resource](https://idr.openmicroscopy.org/)\, an added-val
 ue platform that combines data from multiple independent imaging experimen
 ts and imaging modalities and integrates them into a single resource for r
 eanalysis in a convenient\, scalable form.\n\nPlease note that if you are 
 not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.u
 k/docs/faq/raven/n5) account you will need to book or register your intere
 st by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?ev
 ent-id=2046117&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/2046117
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