Ilastik–ImageJ workflow for ROI-based immunofluorescence quantification: v1.0.0
Abstract
First public release of the Ilastik–ImageJ workflow for standardized, ROI-based quantification of 2D immunofluorescence images. Included: Macro 1: object-based quantification + intensity readouts Macro 2: binary-mask colocalization (pixel-wise overlap) GUI-based parameter input + batch processing Automatic export of time-stamped intermediate artifacts (ROI sets, masks) and result tables Tested with: Fiji: 2.16.0/1.54p Ilastik: 1.4.0.post1 See README for required file naming/folder structure and step-by-step usage.
Fields of Study & Subjects
Cell Image Analysis Techniques
Advanced Fluorescence Microscopy Techniques
Image Processing Techniques and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 January 2026