Exemplary segmentations of curated sub-datasets.
A) Macromolecule (membranes in red, ribosomes in yellow) segmentation, and B) organelle segmentation of a tomogram featuring Golgi (green), vesicles (orange), cytoplasm (cyan), nucleoplasm (beige), and nuclear envelope (blue). C) Examples of sub-datasets, selected by filtering the data for certain criteria. Top: mitochondrion-containing tomograms, showing mitochondrion (red), membrane (gray), and ATP synthase segmentations (blue). Middle: tomograms that contained significant volumes of the Golgi apparatus (green) and associated vesicles (orange). Bottom: tomograms containing 10% or more cytoplasm (cyan) as well as nucleoplasm (yellow). The nuclear envelope (blue) is also rendered. In this panel, macromolecule segmentations are rendered as isosurfaces and organelle segmentations as emissive volumes with intensity proportional to the segmentation value.
Mart Last et al discovered the dataset online long before we told anyone – and developed #Pom, an awesome tool to perform organelle and particle segmentation and then visualize and summarize the dataset on the web, allowing biological queries. This is the future of the field, if you ask me 😉