3D Nuclei Clustering Tool
Type
Requires
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 topic
Additional keywords
Entry Curator
Post date
09/22/2020 - 17:59
Last modified
05/24/2023 - 16:22
