57 citations · 70 across the 5 of their papers we have counts for
5 papers
Resolving compositional and conformational heterogeneity in cryo-EM with deformable 3D Gaussian representations
Bintao He, Yiran Cheng, Hongjia Li +4
Understanding protein flexibility and its dynamic interactions with other molecules is essential for studying protein function. Although cryogenic electron microscopy(cryo-EM) prov…
CryoAlign: feature-based method for global and local 3D alignment of EM density maps
Bintao He, Fa Zhang, Chenjie Feng +3
Advances on cryo-electron imaging technologies have led to a rapidly increasing number of density maps. Alignment and comparison of density maps play a crucial role in interpreting…
SHREC 2021: Classification in cryo-electron tomograms
Ilja Gubins, Marten L. Chaillet, Gijs van der Schot +20
Cryo-electron tomography (cryo-ET) is an imaging technique that allows three-dimensional visualization of macro-molecular assemblies under near-native conditions. Cryo-ET comes wit…
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image
Enze Zhang, Fa Zhang, Zhiyong Liu +2
Electron tomography (ET) allows high-resolution reconstructions of macromolecular complexes at nearnative state. Cellular structures segmentation in the reconstruction data from el…
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy
Yu Li, Fan Xu, Fa Zhang +6
Super-resolution fluorescence microscopy, with a resolution beyond the diffraction limit of light, has become an indispensable tool to directly visualize biological structures in l…