Friedrich Forster

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Detection and identification of macromolecular complexes in cryo-electron tomograms is challenging due to the extremely low signal-to-noise ratio (SNR). While the state-ofthe-art method is template matching with a single template, we propose a 3-step supervised learning approach: (i) predetection of candidates, (ii) feature calculation, and (iii) final(More)
Ribosomes and messenger RNA assemble to polysomes during protein synthesis. Cryoelectron tomography enables detection and identification of large macromolecular complexes under physiological conditions making the method uniquely suitable to study the supercomplexes that govern translation of mRNA into proteins. Here, we describe a method for automated(More)
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