Deep learning object detection in materials science: Current state and future directions
R Jacobs - Computational Materials Science, 2022 - Elsevier
Deep learning-based object detection models have recently found widespread use in
materials science, with rapid progress made in just the past two years. Scanning and …
materials science, with rapid progress made in just the past two years. Scanning and …
A large expert-curated cryo-EM image dataset for machine learning protein particle picking
Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the structures of
biological macromolecular complexes. Picking single-protein particles from cryo-EM …
biological macromolecular complexes. Picking single-protein particles from cryo-EM …
Performance and limitations of deep learning semantic segmentation of multiple defects in transmission electron micrographs
Transmission electron microscopy (TEM) is a popular method for characterizing and
quantifying defects in materials. Analyzing digitized TEM images is typically done manually …
quantifying defects in materials. Analyzing digitized TEM images is typically done manually …
Advancing electron microscopy using deep learning
K Chen, AS Barnard - Journal of Physics: Materials, 2024 - iopscience.iop.org
Electron microscopy, a sub-field of microanalysis, is critical to many fields of research. The
widespread use of electron microscopy for imaging molecules and materials has had an …
widespread use of electron microscopy for imaging molecules and materials has had an …
[HTML][HTML] CryoPPP: a large expert-labelled cryo-EM image dataset for machine learning protein particle picking
Cryo-electron microscopy (cryo-EM) is currently the most powerful technique for determining
the structures of large protein complexes and assemblies. Picking single-protein particles …
the structures of large protein complexes and assemblies. Picking single-protein particles …
REPIC—an ensemble learning methodology for cryo-EM particle picking
CJF Cameron, SJH Seager, FJ Sigworth, HD Tagare… - bioRxiv, 2023 - biorxiv.org
Cryo-EM (cryogenic electron microscopy) particle identification from micrographs (ie,
picking) is challenging due to the low signal-to-noise ratio and lack of ground truth for …
picking) is challenging due to the low signal-to-noise ratio and lack of ground truth for …
A Segmentation-aware Synergy Network for Single Particle Recognition in Cryo-EM
S Li, H Li, C Zhang, F Zhang… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Cryo-electron microscopy (cryo-EM) single particle analysis (SPA) has been an
indispensable technology to reconstruct three-dimensional (3D) structures of biomolecules …
indispensable technology to reconstruct three-dimensional (3D) structures of biomolecules …