Image Analysis for Biologists PrerequisitesNew
- 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.
- Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
- Further details regarding eligibility criteria are available here
- Further details regarding the charging policy are available here
Basic programming knowledge (loops, function, variables etc...) would be an advantage
Number of sessions: 3
# | Date | Time | Venue | Trainers | |
---|---|---|---|---|---|
1 | Mon 20 Apr 2015 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Richard Butler, Alex Sossick |
2 | Tue 21 Apr 2015 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Dr B. Antal, Dr A. Chessel, Leila Muresan, Jason Swedlow |
3 | Wed 22 Apr 2015 09:30 - 16:30 | 09:30 - 16:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Mark Bray |
- Introduction to images and commonly used algorithms
- Handling, processing and analyzing images in Fiji
- Statistical analysis in Matlab
- Analysis of biological phenotypes in CellProfiler
- The Open Microscopy Environment
The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitive analysis pipelines.
Presentations, demonstrations and practicals
Three full day sessions
Once a year
Booking / availability