Faculty Opinions recommendation of Real-time cryo-electron microscopy data preprocessing with Warp.

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A guide to machine learning for biologists (2021, background): “Data such as DNA, RNA and protein sequences 22,23 and microscopy images 24,25 are examples of biological data where these requirements can be met and deep learning has been successfully applied.”
New tools for automated cryo-EM single-particle analysis in RELION-4.0 (2021, methodology): “In particular, various unsupervised protocols for the earlier stages of image processing, including motion correction in movies, contrast transfer function (CTF) parameter estimation and particle picking, have been introduced, for example in FOCUS [20], SCIPION [21], WARP [22], tranSPHIRE [23], SPRE”
Multi-particle cryo-EM refinement with M visualizes ribosome-antibiotic complex at 3.5 Å in cells (2021, methodology): “Although local defocus estimation based on amplitude spectrum fitting has been shown to increase resolution 19 , reference-based refinement of per-particle defocus can lead to a further increase in resolution 24 .”