Open the builder in ImageJ and describe your analysis task in plain English.
The AI understands your intent and asks smart follow-up questions about your image.
The AI will generate a script. The model knows how to perform your task, but can make mistakes. Inspect and test your script for accuracy.
Save your complete script in the ImageJ menu for convenient access for repeated actions.
Welcome! Describe what you need and I'll build it for you.
Turn "give me the fluorescent intensity of every cell in the image" into a working plugin in 10 seconds.
Bridge ImageJ macros with Python. Use CellPose, scikit-image, or your own models directly from the builder.
Run your pipeline across entire folders. Process hundreds of images with consistent parameters and automatic export.
Drop it onto the Fiji window. It installs itself.
Relaunch and find the plugin under Pipelines → New
If you have an LLM API key, use it. If you don't, you can use ours. Usage limits apply.
Configure with your own API key and build with no limits. No API Key? Use our LLM backend for free.
Support our development and gives you expanded access to our AI cloud backend.
Real pipelines from the IJPB community. Click any card to see the conversation.
"Count DAPI-stained nuclei, separate touching cells, and export count and mean area per image."
"Use CellPose to segment HeLa cells in phase contrast and output individual cell mask TIFFs."
"Measure Pearson and Manders coefficients between GFP and RFP channels across 48 images."
"Count mRNA FISH spots per nucleus, normalize to nuclear area, and export a tidy CSV."
"Rolling-ball background subtraction + mean intensity per channel per ROI across 200 images."
"Detect and track mitochondrial fission events in a 100-frame time-lapse using TrackMate."
