Paper Info
Title
A global optimization approach to image translational alignment in electron microscopy
Abstract
Abstract { Electron,microscope tomography,allows determination of the 3D structure of biological specimens, which is critical to understanding their function. Prior to the 3D reconstruction procedure, the images taken from the microscope have to be properly aligned. Traditionalalignmentmethodsinthisfleldarebasedon a phase residual function to be minimized by ine‐cient exhaustive search procedures. This work addresses this minimization problem from,a global optimization perspective. uego, an evolutionary multimodal optimization algorithm, has been applied and evaluated for the task of image alignment in this fleld. uego,has turned out to be a promising technique alternative to the standard methodology. The alignments found out by uego show high levels of accuracy, while reducing the number of function evaluations by a signiflcant factor with respect to the standard method. Keywords: global optimization, stochastic optimiza-
Year
DOI
Venue
2004
10.1109/ICSMC.2004.1401238
SMC
Keywords
Field
DocType
biology computing,electron microscopy,evolutionary computation,image reconstruction,minimisation,optical tomography,3D reconstruction,electron microscope tomography,evolutionary multimodal optimization algorithm,global optimization approach,image translational alignment,minimization problem,phase residual function
Iterative reconstruction,Computer vision,Brute-force search,Global optimization,Electron Microscope Tomography,Computer science,Evolutionary computation,Microscope,Artificial intelligence,Evolutionary multimodal optimization,3D reconstruction
Conference
Volume
ISSN
Citations 
5
1062-922X
2
PageRank 
References 
Authors
0.52
2
4
Name
Order
Citations
PageRank
J. L. Redondo1377.98
P.M. Ortigosa29816.37
Inmaculada Garcia3587.14
José-jesús Fernández44610.63