These notes are intended as an introduction to effective use of ImageJ, a mature image-processing platform created by the National Institute of Health (NIH).
There are many excellent ImageJ tutorials and resources available online. Notable examples include:
Whilst having been initiated for the medical and biological sciences, ImageJ, because of it’s extensible nature and large variety of plugins is now used in many disciplines requiring image processing.
You should already be familiar with the ImageJ User Interface, including
In addition, you should ideally
If you also know about
then this course should be a breeze, and simply a case of learning and practicing how to use the ImageJ specific functions to create useful image processing pipelines.
The attendees of this course will losely fall into three categories outlined in the previous section, namely those with the
Accordingly, at the end of these sessions you can expect to
A core component of this workshop is the idea that you would be able to practice what you’ve learned with help at hand.
During each session, after you have completed the exercises scheduled for that session you are invited to work on your own data on tasks relevant to your research. We will be at hand to help you out when you get stuck!
For both environmental reasons and to ensure that you have the most up-to-date version, we recommend that you work from the online version of these notes.
A printable, single page version of these notes is available here.
Please email any typos, mistakes, broken links or other suggestions to j.metz@exeter.ac.uk.
If you want to use imagej on your own computer I would recomend using Fiji which can be downloaded from
Fiji is ImageJ with additional functionality and bundled plugins.
Alternatively standard ImageJ can be downloaded from