3D Nuclei Clustering Tool

Type
Author
B├Ącker Volker orcid.org/0000-0002-9129-6403
Requires
Execution Platform
Implementation Type
Programming Language
is compatible with
Supported image dimension
Interaction Level
License/Openness
License
MIT
Description

Analyze the clustering behavior of nuclei in 3D images. The centers of the nuclei are detected. The nuclei are filtered by the presence of a signal in a different channel. The clustering is done with the density based algorithm DBSCAN. The nearest neighbor distances between all nuclei and those outside and inside of the clusters are calculated.

has function
has biological terms
Additional keywords
Entry Curator