The 3D ImageJ Suite is a set of algorithms and tools (mostly ImageJ plugins) developed since 2010, originally for 3D analysis of fluorescence microscopy. Since then, the plugins have been widely used and cited more than 200 times in biological journals. In this presentation we will give a general introduction to the tools available in the 3D ImageJ Suite : filtering, 3D segmentation for spots and nuclei, and 3D analysis. A graphical interface to manage 3D objects, the 3DManager, was also developed and will be presented.
The NEUBIAS Academy at home about CLIJ2 gives an introduction to accelerated image processing using Graphics Processing Units (GPUs) in ImageJ/Fiji. Core concepts are explained as well as usage of the tools with the ImageJ Macro recorder and auto-completion in Fijis script editor. Furthermore, an outlook is provided of how the CLIJ project will develop in the coming years to provide long-term maintained access to GPU-acceleration in the Bio-Image Analysis context.
After the session you will be able to built your own CellProfiler pipeline, including:
- Image data import
- Object segmentation (e.g. detect nuclei in an image) using the modules "IdentifyPrimaryObjects" and "IdentifySecondaryObjects"
- Object feature measurements (e.g. measure size, shape and intensity of cells)
- Measurements export to a spreadsheet
- Creating and saving quality control images
The one-day course is focused on processing microscopy images showing cells and nuclei. We will dive through segmenting objects, measuring their properties, managing measurements in tables and plotting results.