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3D_Nuclei_Clustering_Tool

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Volker edited this page Feb 4, 2020 · 23 revisions

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. They clustered with the density based algorithm DBSCAN. The nearest neighbor distances between all nuclei and those outside and inside of the clusters are calculated.

You can download an example data-set:

The source code in git-hub can be found here.

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