Improving the resolution of CryoEM single particle analysis
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We present a new 3D refinement method for CryoEM single particle analysis which can improve the resolution of final map comparing with traditional methods in this paper. Our approach leverages the prior information about the electron density map of macromolecules in real space. Our proposed method enforces the priors by designing a novel type of real space penalty function and incorporates it into the refinement process. We also design a first order method to solve the optimization problem and created an efficient implementation using CUDA. We compare our procedure in real datasets with the traditional method using a set of widely used metrics for CryoEM model validation and demonstrate that our procedure outperforms the traditional method in terms of those metrics. The implementation of our method can be found at https://github.com/alncat/cryoem.
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