Name
Title | ||
|---|---|---|
Exact reduced-complexity maximum likelihood reconstruction of multiple 3-D objects from unlabeled unoriented 2-D projections and electron microscopy of viruses. |
Abstract | ||
|---|---|---|
In cryo-electron microscopy, the data is comprised of noisy 2-D projection images of the 3-D electron scattering intensity of the object where the orientation of the projections is unknown. Often, the images show randomly selected objects from a mixture of different types of objects. Objects of different type may be unrelated, e.g., different species of virus, or related, e.g., different conformations of the same species of virus. Due to the low SNR and the 2-D nature of the data, it is challenging to determine the type of the object shown in an individual image. A statistical model and maximum likelihood estimator that computes simultaneous 3-D reconstruction and labels using an expectation maximization algorithm exists but requires extensive computation due to the numerical evaluation of 3-D or 5-D integrations of a square matrix of dimension equal to the number of degrees of freedom in the 3-D reconstruction. By exploiting the geometry of rotations in 3-D, the estimation problem can be transformed so that the inner-most numerical integral has a scalar rather than a matrix integrand. This leads to a dramatic reduction in computation, especially as the number of degrees of freedom in the 3-D reconstruction increases. Numerical examples of the 3-D reconstructions are provided based on synthetic and experimental images where the objects are small spherical viruses. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TIP.2007.908298 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
3-d signal reconstruction,small spherical virus,integral equations,expectation-maximisation algorithm,3d electron scattering intensity,tomography,different conformation,structural biology,multiple 3-d objects,statistical analysis,reconstruction increase,cryo-electron microscopy,maximum likelihood estimation,microorganisms,3d object reconstruction,matrix algebra,square matrix,virology,biological techniques,different type,2-d projections,biology computing,image reconstruction,virus,expectation maximization algorithm,exact reduced-complexity maximum likelihood,matrix integrand,numerical evaluation,numerical integral,noisy 2d projection image,electron microscopy,cryo-electron microscopy (cryo em),numerical example,different species,statistical model,3d reconstruction,degree of freedom,signal reconstruction,maximum likelihood estimate,cryo electron microscopy,electron scattering,numerical integration,maximum likelihood | Iterative reconstruction,Pattern recognition,Matrix (mathematics),Expectation–maximization algorithm,Scalar (physics),Square matrix,Artificial intelligence,Mathematics,Signal reconstruction,3D reconstruction,Computation | Journal |
Volume | Issue | ISSN |
16 | 12 | 1057-7149 |
Citations | PageRank | References |
1 | 0.58 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junghoon Lee | 1 | 1 | 0.58 |
| P. C. Doerschuk | 2 | 67 | 19.09 |
| J.E. Johnson | 3 | 27 | 5.49 |