Cryo-electron tomography (cryo-ET) plays a critical role in imaging microorganisms in situ in
terms of further analyzing the working mechanisms of viruses and drug exploitation, among …

Cryo-electron tomography (cryo-ET) has the potential to reveal cell structure down to atomic
resolution. Nevertheless, cellular cryo-ET data is highly complex, requiring image …

Cryo-electron tomography (cryo-ET) allows to visualize the cellular context at
macromolecular level. To date, the impossibility of obtaining a reliable ground truth is …

MemBrain v2 is a deep learning-enabled program aimed at the efficient analysis of
membranes in cryo-electron tomography (cryo-ET). The final v2 release of MemBrain will …

Abstract Cryogenic Electron Tomography (CryoET) is a useful imaging technology in
structural biology that is hindered by its need for manual annotations, especially in particle …

Infrastructure projects often encounter performance challenges, such as cost overruns and
safety issues, due to complex risk interactions and systemic risks. Existing literature treats …

Cryogenic Electron Tomography (CryoET) is a useful imaging technology in structural
biology that is hindered by its need for manual annotations, especially in particle picking …

This survey report presents an overview of the field of quantum computing, focusing on the
application of quantum technologies in machine learning, deep learning, image processing …