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  • Image Analysis for Biologists

    24 - 26 June 2019

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](, an extensible open source software package. On day 2, we will cover time series processing and cell tracking using [TrackMate]( and advanced image segmentation using [Ilastik]( Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments. On day 3, we will describe the open [Icy platform]( developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven]( account you will need to book or register your interest by linking [here]('' 2019-06-24 08:30:00 UTC 2019-06-26 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
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