- Super|Resolution Cryo|EM Maps With 3D Deep Generative Networks🔍
- Enhancing cryo|EM maps with 3D deep generative networks for ...🔍
- Super Resolution Cryo|EM Maps with 3D Deep Generative Networks🔍
- Synthetic High|resolution Cryo|EM Density Maps with Generative ...🔍
- A collaborative list of awesome CryoEM 🔍
- Deep generative priors for biomolecular 3D heterogeneous ...🔍
- Improvement of cryo|EM maps by simultaneous local and non|local ...🔍
- bioRxiv on X🔍
Super|Resolution Cryo|EM Maps With 3D Deep Generative Networks
Super-Resolution Cryo-EM Maps With 3D Deep Generative Networks
We report SuperEM, a novel deep learning-based method that uses a three-dimensional generative adversarial network for generating an improved-resolution EM map.
Enhancing cryo-EM maps with 3D deep generative networks for ...
Super-resolution imaging applications of GANs have also been extended to other microscopy image data, such as from fluorescence microscopy (Wang ...
Super Resolution Cryo-EM Maps with 3D Deep Generative Networks
We report SuperEM, a novel 3D Generative Adversarial Network (GAN)-based method to generate an improved-resolution EM map from an experimental EM map.
Enhancing cryo-EM maps with 3D deep generative networks for ...
If the resolution obtained is near the empirical borderline (3-4.5 Å), improvement in the map quality facilitates structure modeling. Results: ...
Super Resolution Cryo-EM Maps with 3D Deep Generative Networks
1359-Plat. Solid-State NMR Analysis of Interface Flexibility in Pleomorphic Protein. Assemblies. Guivert Michel, Jeremy J. Gonzalez, ...
(PDF) Enhancing Cryo-EM Maps With 3D Deep Generative ...
... super-. resolution using a generative adversarial network. In: Proceedings of. the IEEE Conference on Computer Vision and Pattern Recognition,. pp. 4681–90 ...
Synthetic High-resolution Cryo-EM Density Maps with Generative ...
... super-resolution, and 3D object generation [17] . ... Enhancing cryo-em maps with 3d deep generative networks for assisting protein structure ...
A collaborative list of awesome CryoEM (Cryo Electron ... - GitHub
SuperEM: Super-Resolution Cryo-EM Maps With 3D Deep Generative Networks. ... Deep Learning for Validating and Estimating Resolution of Cryo-Electron Microscopy ...
Deep generative priors for biomolecular 3D heterogeneous ...
VAE maps input cryo-EM particle stacks nonlinearly to a low-dimensional variable in the latent space via encoder neural networks. Ideally, this latent variable ...
Improvement of cryo-EM maps by simultaneous local and non-local ...
... resolution cryo-EM maps with deep learning-guided automatic assembly. ... Super resolution Cryo-EM maps with 3D deep generative networks.
bioRxiv on X: "Super-Resolution Cryo-EM Maps With 3D Deep ...
Super-Resolution Cryo-EM Maps With 3D Deep Generative Networks https://t.co/KYz8pIBsDx #bioRxiv.
phonchi/Computational-CryoEM: A curated list of awesome ... - GitHub
EM-GAN - Improved Protein Structure Modeling Using Enhanced Cryo-EM Maps With 3D Deep Generative Networks ... resolution cryo-EM maps with deep learning-guided ...
Super Resolution Cryo-EM Maps with 3D Deep Generative Networks
An increasing number of biological macromolecules have been solved with cryo-electron microscopy (cryo-EM). Over the past few years, ...
CryoDRGN-ET: deep reconstructing generative networks for ...
High-resolution noise substitution to measure overfitting and validate resolution in 3d structure determination by single particle electron cryomicroscopy.
Deep generative modeling for volume reconstruction in cryo ...
... deep generative models for high-resolution cryo-EM reconstruction. ... 3d map reconstruction from cryo-electron microscopy data (2021). 2107.02958 ...
Synthetic High-resolution Cryo-EM Density Maps with Generative ...
... cryo-em maps. with 3d deep generative networks for assisting protein structure modeling. Bioinformatics, 39(8):btad494, 2023. [23]. Catherine ...
Synthetic High-resolution Cryo-EM Density Maps with Generative ...
Generating synthetic cryogenic electron microscopy (cryo-EM) 3D density maps from molecular structures has potential important applications ...
Mapping the motion and structure of flexible proteins from cryo-EM ...
It represents a flexible molecule in terms of a single, high-resolution canonical 3D density map plus a neural network that takes in a latent ...
DiffModeler: Large Macromolecular Structure Modeling in Low ...
Enhancing cryo-EM maps with 3D deep generative networks for assisting protein structure modeling. Bioinformatics 39, btad494 (2023). [DOI] ...
Multiple-image super-resolution of cryo-electron micrographs based ...
... Networks for Single Image Super-Resolution ... Deep learning for validating and estimating resolution of cryo-electron microscopy density maps.