The promise and the challenges of cryo‐electron tomography

M Turk, W Baumeister - FEBS letters, 2020 - Wiley Online Library
Structural biologists have traditionally approached cellular complexity in a reductionist
manner in which the cellular molecular components are fractionated and purified before …

Better, faster, cheaper: recent advances in cryo–electron microscopy

EYD Chua, JH Mendez, M Rapp, SL Ilca… - Annual review of …, 2022 - annualreviews.org
Cryo–electron microscopy (cryo-EM) continues its remarkable growth as a method for
visualizing biological objects, which has been driven by advances across the entire pipeline …

High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering

X Zeng, A Kahng, L Xue, J Mahamid… - Proceedings of the …, 2023 - National Acad Sciences
Cryoelectron tomography directly visualizes heterogeneous macromolecular structures in
their native and complex cellular environments. However, existing computer-assisted …

Quality assessment of the neural algorithms on the example of EIT-UST hybrid tomography

G Kłosowski, T Rymarczyk, T Cieplak, K Niderla… - Sensors, 2020 - mdpi.com
The paper presents the results of research on the hybrid industrial tomograph electrical
impedance tomography (EIT) and ultrasonic tomography (UST)(EIT-UST), operating on the …

Unravelling molecular complexity in structural cell biology

S Pfeffer, J Mahamid - Current opinion in structural biology, 2018 - Elsevier
Highlights•Cryo-ET and computational subtomogram averaging have attained resolutions
suitable for atomic model building.•Cellular cryo-ET can visualize macromolecules at near-to …

Big data in cryoEM: automated collection, processing and accessibility of EM data

PR Baldwin, YZ Tan, ET Eng, WJ Rice, AJ Noble… - Current opinion in …, 2018 - Elsevier
Highlights•Cryogenic electron microscopy has been evolving towards a big data field.•Movie-
mode collection and automation has increased throughput.•Improved processing pipelines …

Cryomicroscopy in situ: what is the smallest molecule that can be directly identified without labels in a cell?

CJ Russo, JL Dickerson, K Naydenova - Faraday Discussions, 2022 - pubs.rsc.org
Electron cryomicroscopy (cryoEM) has made great strides in the last decade, such that the
atomic structure of most biological macromolecules can, at least in principle, be determined …

Weakly supervised 3d semantic segmentation using cross-image consensus and inter-voxel affinity relations

X Zhu, J Chen, X Zeng, J Liang, C Li… - Proceedings of the …, 2021 - openaccess.thecvf.com
We propose a novel weakly supervised approach for 3D semantic segmentation on
volumetric images. Unlike most existing methods that require voxel-wise densely labeled …

Improved deep learning-based macromolecules structure classification from electron cryo-tomograms

C Che, R Lin, X Zeng, K Elmaaroufi, J Galeotti… - Machine vision and …, 2018 - Springer
Cellular processes are governed by macromolecular complexes inside the cell. Study of the
native structures of macromolecular complexes has been extremely difficult due to lack of …

Neural image reconstruction using a heuristic validation mechanism

D Połap, G Srivastava - Neural Computing and Applications, 2021 - Springer
Image reconstruction is a mathematical process, where the image is compressed into a
small representation and derived from this form. The general use of the reconstruction …