Extended Data Fig. 6: Comparison of tomoDRGN-generated volumes to traditional sub-tomogram averaged volumes.
From: Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN
Comparison of volumes generated by a full tomoDRGN network (row 1), an isolated decoder neural network (row 2), or traditional sub-tomogram averaging (row 3). A full tomoDRGN network was trained on the heterogeneous ribosomal particle stack (row 1, n = 20,981, see Figs. 5d and 6a) and representative volumes are depicted. Separate tomoDRGN homogeneous decoder networks were trained on one of three homogeneous substacks corresponding to (a) 70S particles (n = 20,129); (b) 50S particles (n = 852); or (c) SecDF-positive ribosomes (n = 380). Traditional STA was also performed on each of these three particles stacks.
