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- W2946880094 abstract "We presented a new 3D refinement method for CryoEM single particle analysis which can improve the resolution of final electron density map in this paper. We proposed to enforce both sparsity and smoothness to improve the regularity of electron density map in the refinement process. To achieve this goal, we designed a novel type of real space penalty function and incorporated it into the refinement process. We bridged the backprojection step with local kernel regression, thus enable us to embed the 3D model in reproducing kernel Hilbert space using specific kernels. We also proposed a first order method to solve the resulting optimization problem and implemented it efficiently with CUDA. We compared the performance of our new method with respect to the traditional method on real datasets using a set of widely used metrics for CryoEM model validation. We demonstrated that our method outperforms the traditional method in terms of those metrics. The implementation of our method can be found at this https URL." @default.
- W2946880094 created "2019-06-07" @default.
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- W2946880094 date "2019-05-31" @default.
- W2946880094 modified "2023-09-27" @default.
- W2946880094 title "Improving the resolution of CryoEM single particle analysis" @default.
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