SubspaceEM: A Fast Maximum-a-posteriori Algorithm for Cryo-EM Single Particle Reconstruction

バージョン 1.2.0.0 (15.6 MB) 作成者: Nicha Dvornek
Fast alignment and reconstruction algorithm for cryo-electron microscopy
ダウンロード: 408
更新 2015/3/18

ライセンスの表示

Single particle reconstruction methods based on the maximum-likelihood principle are popular because of their ability to produce high resolution structures. However, these algorithms are computationally very expensive, requiring a network of servers. To address this problem, we have developed a new algorithm called SubspaceEM for accelerating maximum-likelihood reconstructions. The speedup is by orders of magnitude, and the new algorithm produces similar quality reconstructions compared to the traditional maximum-likelihood formulation. Our approach uses subspace approximations of the cryo-electron microscopy images and the structure projections, greatly reducing the number of image transformations and comparisons that are computed.
The files include an implementation of the SubspaceEM algorithm. The main script is subspaceEM.m. In addition, a small dataset for testing is included. Please view the readme PDF for further details.

引用

Nicha Dvornek (2024). SubspaceEM: A Fast Maximum-a-posteriori Algorithm for Cryo-EM Single Particle Reconstruction (https://www.mathworks.com/matlabcentral/fileexchange/50091-subspaceem-a-fast-maximum-a-posteriori-algorithm-for-cryo-em-single-particle-reconstruction), MATLAB Central File Exchange. 取得済み .

MATLAB リリースの互換性
作成: R2013a
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linux
カテゴリ
Help Center および MATLAB AnswersBiomedical Imaging についてさらに検索
タグ タグを追加

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Utils/

バージョン 公開済み リリース ノート
1.2.0.0

Fixed file saving error

1.1.0.0

Updated code comments

1.0.0.0