Manuscript Topics

Cryogenic electron microscopy, including cryogenic electron tomography has recently become the method of choice in structural studies of biological macromolecules, especially with the advent of direct electron detector cameras. Most cryo-EM structures solved nowadays are at the atomic or near-atomic resolution level owing largely to advances in both, hard- and software in image processing. Artificial intelligence is getting more and more important in processing of cryo-EM data allowing to reliably pick particles from noisy EM images, sort out heterogeneity in the data, and to improve quality and reliability of the cryo-EM/cryo-ET 3D reconstructions. Ab initio predictions of the structures have also become common practice in EM field. Cryo-EM/ET become synergistic with X-ray Crystallography, NMR, mass-spectrometry, and other complimentary techniques in Structural Biology.  
The aim of this Special Issue is to publish new structural data as well as hardware development in cryo-EM field and to review its current state.  
Submitted papers should not have been previously published, nor be currently under consideration for publication elsewhere. All manuscripts will be peer-reviewed before their acceptance for publication.

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