Code outputs and figures from "Efficient high-resolution refinement in cryo-EM with stochastic gradient descent"
Code outputs and figures for the numerical experiments on preconditioned SGD for cryo-EM reconstruction for reproducing the results in the preprint: Efficient high-resolution refinement in cryo-EM with stochastic gradient descent. Bogdan Toader, Marcus A. Brubaker, Roy R. Lederman The outputs are ob...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Dataset |
Sprache: | eng |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Code outputs and figures for the numerical experiments on preconditioned SGD for cryo-EM reconstruction for reproducing the results in the preprint:
Efficient high-resolution refinement in cryo-EM with stochastic gradient descent.
Bogdan Toader, Marcus A. Brubaker, Roy R. Lederman
The outputs are obtained by running the Jupyter notebooks in the notebooks/preconditioned_sgd directory in the GitHub repository (release v0.1):
https://github.com/bogdantoader/simplecryoem
The particle images used for these experiments can be downloaded from EMPIAR-10076 and require inverting the contrast. The file containing the pose variables and CTF parameters is the particles_file/my_particles_8.star file in the attached archive. |
---|---|
DOI: | 10.5281/zenodo.14017756 |