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Bioimage Analysis Training Resources |
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This resource consists of a collection of training modules that have been used to teach a number of courses. The content of the training resource is explained in the Bioimage analysis training resources: How to use video
Each module can be tought in 30-45 min and covers a specific aspect of image analysis. Links to prerequisite and suggestions what could be tought next are given for each module and are used to define a module dependencies network. The network can be used to guide instructors in the choice of modules for a course.
The modules are meant to be taught hands-on, i.e. following the teacher's guidance, students execute the relevant steps in an image analysis software on their computers. The modules provide those steps for several major image analysis platforms, such as ImageJ GUI, ImageJ Macro, Python and Galaxy. Please see our teaching tips and the video for the Digital image basics module.
We are a community of developers and trainers and we welcome any kind of collaboration! Please see our contributors guide and get in touch by writing an issue.
To get a sense for how this material may be used we compiled a selection of consolidated courses:
Learn to inspect your images and visualize your data.
Learn how to open and handle different image data formats.
Learn essential concepts of image analysis, such as segmentation, intensity measurements, and filtering.
Learn how to automatically process image analysis tasks on multiple images.
Learn about executing bioimage analysis on remote compute resources.
Crash course to learn the essentials of how to devise a basic image analysis workflow and how automatically apply it on multiple images.
Learn how to generate and modify scripts for image analysis workflows using the ImageJ macro language.
Prerequiste dependencies between modules. Click on a module to highlight all his prerequisites. Ctrl-Click on a module to open a module in a new window/tab. Shift-Click to open a module in this subwindow.
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