Deep Learning based approach for localizing and classifying particles and 
determining their orientations in cryo-electron tomograms with Convolutional 
Neural Networks and Spatial Transformer Networks

Sauer, Kay

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Deep Learning based approach for localizing and classifying particles and determining their orientations in cryo-electron tomograms with Convolutional Neural Networks and Spatial Transformer Networks

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Sauer, Kay
Sofja Kovalevskaja Group, Max Planck Institute of Biophysics, Max Planck Society;

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Sauer, K. (2022). Deep Learning based approach for localizing and classifying particles and determining their orientations in cryo-electron tomograms with Convolutional Neural Networks and Spatial Transformer Networks. Master Thesis, Johann Wolfgang Goethe-Universität, Frankfurt am Main.

Cite as: https://hdl.handle.net/21.11116/0000-000B-2C44-8

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