Deep learningCryo-emGANimage denosingCryo-em(Cryogenic electron microscopy)is a technology this can build bio-macromolecule of three-dimensional structure.Under the condition of now,the projection image of the biological macromolecule which is collected by the Cryo-em technology that the contrast is lo...
Wen, "Orientation determination from Cryo- EM images using least unsquared deviations," SIAM Journal on Imaging Sciences, vol. 6, no. 4, pp. 2450-2483, 2013.L. Wang, A. Singer, and Z. Wen, "Orientation determination of cryo- EM images using least unsquared deviations," SIAM J. Imag...
Cryo-Electron Microscopy (Cryo-EM) is employed to collect visual images of the microtubules in atomic resolution. However the electron microscopic images suffer from excessive white noise and incoherent cell structures. The Signal-to-Noise Ratio (SNR) of the images is rather low (less than 0.1)...
representative cryo-EM datasets of 34 protein complexes selected from EMPIAR. Each EMPIAR dataset identified by a unique EMPIAR ID has about ~300 cryo-EM images in which the coordinates of protein particles were labeled and cross-validated by two experts aided by software tools. The total size o...
Single particle reconstruction (SPR) from cryo-electron microscopy (EM) is a technique in which the 3D structure of a molecule needs to be determined from its contrast transfer function (CTF) affected, noisy 2D projection images taken at unknown viewing directions. One of the main challenges in...
One of the difficulties in 3D reconstruction of molecules from images in single particle Cryo-Electron Microscopy (Cryo-EM), in addition to high levels of ... RR Lederman,A Singer - 《Applied & Computational Harmonic Analysis》 被引量: 13发表: 2016年 Fast, Adaptive Expectation-Maximization Alig...
. . . . 10Application: Robust Denoising of Cryo-EM Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Datasets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....
Qi, D. et al. Automatic detection of cerebral microbleeds from MR Images via 3D convolutional neural networks.IEEE Trans. Med. Imaging35, 1182–1195 (2016). ArticleGoogle Scholar Avramov, T. K. et al. Deep learning for validating and estimating resolution of cryo-electron microscopy density ma...
Cryo-electron microscopy (cryoEM) is becoming the preferred method for resolving protein structures. Low signal-to-noise ratio (SNR) in cryoEM images reduces the confidence and throughput of structure determination during several steps of data proce
We test the FREALIGN implementation using a simulated dataset containing computer-generated projection images of three different 70S ribosome structures, as well as a publicly available dataset of 70S ribosomes. The results show that the mixed strategy of the new FREALIGN algorithm yields performance ...