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Found 5 papers, 4 papers with code
CryoAlign: feature-based method for global and local 3D alignment of EM density maps
Advances on cryo-electron imaging technologies have led to a rapidly increasing number of density maps.
Leveraging Inlier Correspondences Proportion for Point Cloud Registration
Motivated by this, we devise several techniques to promote feature-learning based point cloud registration performance by leveraging inlier correspondences proportion: a pyramid hierarchy decoder to characterize point features in multiple scales, a consistent voting strategy to maintain consistent correspondences and a geometry guided encoding module to take geometric characteristics into consideration.
Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration From Single Noisy Volume With Sparsity Constraint
The proposed method only requires a single noisy data as training input and no ground-truth is needed in the whole training procedure.
A Hybrid Frequency-Spatial Domain Model for Sparse Image Reconstruction in Scanning Transmission Electron Microscopy
Scanning transmission electron microscopy (STEM) is a powerful technique in high-resolution atomic imaging of materials.
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy
Our method combines the strength of deep learning and statistical inference, where deep learning captures the underlying distribution of the fluorophores that are consistent with the observed time-series fluorescent images by exploring local features and correlation along time-axis, and statistical inference further refines the ultrastructure extracted by deep learning and endues physical meaning to the final image.
