Object detection

Semi-automated segmentation of 3D objects (e.g. neurons) based on user-provided seeds.

This plugin can be used for inferring spatial interactions between patterns of spot-like objects in images or between coordinates read from a file. 

IdentifySecondaryObjects identifies objects (e.g., cells) using objects identified by another module (e.g., nuclei) as a starting point.

This segmentation method performs a N-class thresholding based on a K-Means classification of the image histogram, then extracts objects in a bottom-up manner using user-defined minimum and maximum object sizes. Very useful to detect clustered objects in fluorescence microscopy.

Identify objects (as nuclei) within an image without needing the assistance of another cellular feature (as cell).