Efficient high-resolution refinement in cryo-EM with stochastic gradient descent.

ABSTRACT: Electron cryomicroscopy (cryo-EM) is an imaging technique widely used in structural biology to determine the three-dimensional structure of biological molecules from noisy two-dimensional projections with unknown orientations. As the typical pipeline involves processing large amounts of data, efficient algorithms are crucial for fast and reliable results. The stochastic gradient descent (SGD) algorithm has been used to improve the speed of ab initio reconstruction, which results in a first, low-resolution estimation of the volume representing the molecule of interest, but has yet to be applied successfully in the high-resolution regime, where expectation-maximization algorithms achieve state-of-the-art results, at a high computational cost. In this article, we investigate the conditioning

SUBMITTER: Toader B 

PROVIDER: S-EPMC10705587 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature