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3D_Nuclei_Clustering_Tool

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Volker edited this page Feb 4, 2020 · 22 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.

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