Image Analysis for Biologists
Date: 20 - 22 April 2015
*This course will focus on computational methods for analyzing cellular images and extracting quantitative data from them.
*It is aimed at researchers who are applying or planning to apply image analysis in their research
*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 around Fiji, an extensible open source software package.
*On day 2 we will then use Matlab as an environment for bioimage informatics, covering image segmentation and quantitation, interactive data visualization, basic statistical analysis and machine learning algorithms. OME software and data format standards for the storage and manipulation of biological microscopy data will also be presented.
*On day 3 we will focus on how to use CellProfiler, an open-source, freely-downloadable software package designed for large-scale, automated phenotypic image analysis.
*A draft agenda can be found here.
*This event is sponsored by the Systems Microscopy NoE.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.''
Keywords: HDRUK
Venue: Craik-Marshall Building
City: Cambridge
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: Graduate students, Postdocs and Staff members from the University of Cambridge, Institutions and other external Institutions or individuals
Event types:
- Workshops and courses
Activity log