Organizer: University of Cambridge

Host institution: University of Cambridge Bioinformatics Training

Start: Monday, 10 December 2018 @ 09:30

End: Tuesday, 11 December 2018 @ 17:30

Venue: Craik-Marshall Building

City: Cambridge

Country: United Kingdom

Postcode: CB2 3AR

Scientific topic: Data visualisation, Data mining, Biological imaging, Bioinformatics

Target audience:
  • Researchers who want to extract quantitative information from microscopy images
  • Graduate students
  • Postdocs and Staff members from the University of Cambridge
  • Institutions and other external Institutions or individuals
Description:

Microscopy experiments have proven to be a powerful means of generating information-rich data for biological applications. From small-scale microscopy experiments to time-lapse movies and high-throughput screens, automatic image analysis is more objective and quantitative and less tedious than visual inspection.

This course will introduce users to the free open-source image analysis program CellProfiler and its companion data exploration program CellProfiler Analyst. We will show how CellProfiler can be used to analyse a variety of types of imaging experiments. We will also briefly discuss the basic principles of supervised machine learning with CellProfiler Analyst in order to score complex and subtle phenotypes.

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.''

Event type:
  • Workshops and courses

Keywords: HDRUK

Using CellProfiler and CellProfiler Analyst to analyse biological images https://tess.elixir-europe.org/events/using-cellprofiler-and-cellprofiler-analyst-to-analyse-biological-images-784b3b6a-5e06-4064-b715-9c596d8b9d43 Microscopy experiments have proven to be a powerful means of generating information-rich data for biological applications. From small-scale microscopy experiments to time-lapse movies and high-throughput screens, automatic image analysis is more objective and quantitative and less tedious than visual inspection. This course will introduce users to the free open-source image analysis program [CellProfiler](http://cellprofiler.org/) and its companion data exploration program CellProfiler Analyst. We will show how CellProfiler can be used to analyse a variety of types of imaging experiments. We will also briefly discuss the basic principles of supervised machine learning with CellProfiler Analyst in order to score complex and subtle phenotypes. 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](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2657149&course-title=Using%20CellProfiler%20and%20CellProfiler%20Analyst%20to%20analyse%20biological%20images).'' 2018-12-10 09:30:00 UTC 2018-12-11 17:30:00 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 want to extract quantitative information from microscopy imagesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK