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Filtering of 3D dSTORM images using DBSCAN, ROI extraction, graphical representation of protein clusters.

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posted on 2020-06-30, 17:37 authored by Sandra Mayr, Fabian Hauser, Sujitha Puthukodan, Markus Axmann, Janett Göhring, Jaroslaw Jacak

Images are reconstructed from approx. 60 000 single localisations. Images are shown before (a) and after (b) filtering using DBSCAN. Reduction from 59 393 points to 51 323 points (red: negative z values, yellow: positive z values) was achieved by using ρ = 2 and minP = 3. Points defined as outliers are filtered. (c) represents the sample image shown in (a) before region extraction (white box: large regions, red box: small regions). (d) shows the extracted region (region includes all points from original image). Cluster volume was calculated as sum of spheres (e), convex-hull volume (f) and box volume (g).

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