This shortcut performs a complete automation for segmenting cell fields in a petri dish image with the following steps:

1. Cell Segmentation: Automatically detect and segment all cell fields in the petri dish image.
2. Bounding Box: Draw a colored bounding box around each detected cell field (with a red border).
3. Area Calculation: Calculate the area of each cell field as a circle.
4. Image Cropping: Crop each segmented cell and save it as a separate image.
5. ID Generation: Generate a unique ID for each segmented cell.
6. Image Saving: Save the image with all bounding boxes as well as the individual cropped cell images.
7. JSON Storage: Store all image URLs in a JSON field and compile them into a list.

This automation is perfect for the automatic detection and processing of cell fields in scientific image data.

This shortcut consumes cloud credits when executed.