Convolutional neural networks for automated annotation of cellular cryo-electron tomograms

An algorithm and software tool automating the annotation of subcellular features in cryo-electron tomography data is presented. Cellular electron cryotomography offers researchers the ability to observe macromolecules frozen in action in situ, but a primary challenge with this technique is identifying molecular components within the crowded cellular environment. We introduce a method that uses neural networks to dramatically reduce the time and...