- Development of novel 3D classification methods for Cryo🔍
- Methods for Cryo|EM Single Particle Reconstruction of ...🔍
- Improved Cryo|EM Pose Estimation and 3D Classification through ...🔍
- enhancing 3D Cryo|ET classification through fine|tuning video ...🔍
- 3D Classification strategy🔍
- Challenges and opportunities in cryo|EM single|particle analysis🔍
- Few|shot learning for classification of novel macromolecular ...🔍
- Enhancing cryo|EM maps with 3D deep generative networks for ...🔍
Development of novel 3D classification methods for Cryo
Development of novel 3D classification methods for Cryo - I2PC
Development of novel 3D classification methods for Cryo-. Electron Microscopy. Autor: Oier Lauzirika Zarrabeitia. Tutor: Carlos Óscar Sorzano Sánchez. Narciso ...
Methods for Cryo-EM Single Particle Reconstruction of ...
This is the continuous heterogeneity reconstruction problem. Fortunately, there has been a surge in the effort devoted to developing ...
Improved Cryo-EM Pose Estimation and 3D Classification through ...
Results on simulated datasets show that HetACUMN generated more accurate conformational classifications than other amortized or non-amortized methods.
enhancing 3D Cryo-ET classification through fine-tuning video ...
Leveraging the above insight, we propose a novel approach that involves the utilization of 3D models pre-trained on large-scale video datasets ...
3D Classification strategy: Classify until exhaustive? - Tips
The reason I have been more actively using 3D Classification is because previously we ran the 3D Classification job on our old workstation and ...
Challenges and opportunities in cryo-EM single-particle analysis
Cryo-EM techniques have been rapidly developing over the last several years and have become standard tools in the structural biologist's toolkit ...
Few-shot learning for classification of novel macromolecular ... - PLOS
However, systematic recognition and recovery of macromolecular structures in cryo-ET data remain challenging as a result of low signal-to-noise ...
DeepAlign, a 3D alignment method based on regionalized deep ...
Despite the great development of the techniques involved to solve the biological structures with Cryo-EM in the last years, the reconstructed 3D ...
Enhancing cryo-EM maps with 3D deep generative networks for ...
The method was tested extensively on a dataset of 65 EM maps in the resolution range of 3–6 Å and showed substantial improvements in structure ...
Analyses of the electron micrographs and calculation of the 3D map from the 2D projections were based on methods developed by Klug and ...
Focused classifications and refinements in high-resolution single ...
The method of localized analysis (Klaholz et al., 2004, Klaholz, 2015) became then more wide-spread and used in the cryo-EM community to comprise both 2D/3D ...
Novel Artificial Intelligence-Based Approaches for Ab Initio Structure ...
[117]. Taken together, significant progress has been made in facilitating 3D reconstruction from cryo-EM data with the application of DL-based algorithms.
Hidden dynamics of proteasome autoregulation discovered by cryo ...
... developed a novel ... strategies for validating 3D classification accuracy in cryo-EM. ... methods gave rise to higher heterogeneity in the class ...
phonchi/Computational-CryoEM: A curated list of awesome ... - GitHub
... methods in the same framework. [Documentation]; Relion - A comprehensive package that utilizes Bayesian approach for 2D classification and 3D refinement.
Resolving flexibility and heterogeneity with 3D Variability Analysis
Learn how the new 3D Variability Analysis (3DVA) algorithm in cryoSPARC can reveal new functional and biological insight into the ...
A novel method for improvement of visualization of power spectra for ...
... developed a novel method for improving visibility of diffraction rings in ... techniques (cryo ... A method of focused classification, based on the bootstrap 3D ...
3D classification O-EM epochs - CryoSPARC Discuss
3D classification in cryoSPARC uses an 'online' (i.e., mini-batch) expectation maximization (O-EM) procedure to alternate between computing ...
Methods and tools in CryoSPARC for processing of membrane ...
... novel cryo-EM reconstruction algorithms. These methods developments formed the basis for early versions of CryoSPARC, and research work has ...
Machine learning for determining protein structure and dynamics ...
... classes of dynamic ... 3D reconstruction from the collected dataset of 2D cryo-EM images. ... method for broadening the scope of cryo-EM ...
recent developments for membrane protein structure determination
Cryo-EM structure determination had a quantum leap few years ago, with improved image acquisition technology and image classification technique. Rather than ...