Fast, adaptive expectation-maximization alignment for Cryo-EM.
Cryo-EM is a method for reconstructing 3D structure of proteins without crystallization. The Expectation-Maximization (EM) algorithm is used in the alignment step of Cryo-EM reconstructions. The EM step is often a serious computational bottleneck for 3D reconstructions. This paper proposes a computationally adaptive version of the EM algorithm that speeds up the algorithm by a factor of 20 - 30. Experiments with noisy real-world data are included to show that the algorithm achieves this speedup without any significant loss of accuracy. Such speed ups are significant, allowing the reconstruction to converge in cpu-days rather than cpu-months.
Tagare
Hemant D
HD
Dept. of Diag. Radiology, Yale University, USA. hemant.tagare@yale.edu
Sigworth
Frederick
F
Barthel
Andrew
A
D000465:Algorithms; D020285:Cryoelectron Microscopy / Q000379:methods*; D003461:Crystallography / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D011506:Proteins / Q000648:ultrastructure*; D013382:Subtraction Technique
D011506:Proteins