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. Author manuscript; available in PMC: 2024 Dec 18.
Published in final edited form as: Nat Methods. 2024 Mar 8;21(8):1525–1536. doi: 10.1038/s41592-024-02210-z

Extended Data Fig. 4. TomoDRGN identifies non-ribosomal particles picked from EMPIAR-10499 tomograms.

Extended Data Fig. 4

(a) Latent UMAP and corresponding sampled volumes from tomoDRGN heterogeneous network training from Fig. 5a. Eight representative non-ribosomal particles identified through manual inspection of k=100 k-means clustering of latent space are rendered at a constant isosurface and pose.

(b) Two tomograms are shown in slice view using Cube (https://github.com/dtegunov/cube) with locations of particles labeled as non-ribosomal annotated within each tomogram.

(c) RELION3-based multiclass (k=5) ab initio sub-tomogram volume generation using particles annotated as non-ribosomal via tomoDRGN (n=1,310).