2D

Collection of several basic standard image segmentation methods focusing on medical imaging. In particular, the key block/applications are (un)supervised image segmentation using superpixels, object centre detection and region growing with a shape prior. Besides the open-source code, there is also a few sample images.

This workflow processes a group of images containing cells with discernible nuclei and segments the nuclei and outputs a binary mask that show where nuclei were detected. It was developed as a test workflow for Neubias BIAFLOWS Benchmarking tool.

This workflow processes images of cells with discernible nuclei and outputs a binary mask containing where nuclei are detected.

ROI measurement plug-in for Icy.

This workflow detects spots in a 2D image by filtering the image by Laplacian of Gaussian (user defined radius) and detecting regional intensity minima (user defined noise tolerance).