Open AccessMathematicsPhysicsComputer Science
Amit Singer, Zhizhen Zhao, Y. Shkolnisky, Ronny Hadani
2011.5.1SIAM Journal on Imaging Sciences
tlooto Summary
A new algorithm for identifying noisy cryo-EM images of nearby viewing angles, based on the computation of the top few eigenvectors of a specially designed sparse Hermitian matrix, which is very efficient in terms of running time and memory requirements.
Abstract
Abstract is not available.
Citation format
SINGER, Amit, et al. Viewing angle classification of cryo-electron microscopy images using eigenvectors. SIAM Journal on Imaging Sciences, 2011, 4 2: 723–759.