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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260809T002437Z
UID:f0f9d481-a10b-40c3-b883-70a7b2dc7d15
DTSTART:20171211T093000Z
DTEND:20171212T173000Z
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). The afternoon of day two will focus on understanding the basic
 s of deconvolution and colocalisation\, using tools in Fiji to look at bas
 ic examples of how to apply deconvolution and how to carry out colocalisat
 ion analysis in fluorescence microscopy. \n\nPlease note that if you are n
 ot 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 interes
 t by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?eve
 nt-id=1923480&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/1923480
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