Improving the resolution of CryoEM single particle analysis

05/31/2019
by   Zhenwei Luo, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

09/22/2022

Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing

In this paper, we introduce a new algorithm based on archetypal analysis...
11/23/2021

Binned multinomial logistic regression for integrative cell type annotation

Categorizing individual cells into one of many known cell type categorie...
02/21/2018

Density-aware Single Image De-raining using a Multi-stream Dense Network

Single image rain streak removal is an extremely challenging problem due...
10/30/2018

Scale-Invariant Structure Saliency Selection for Fast Image Fusion

In this paper, we present a fast yet effective method for pixel-level sc...
07/23/2014

Quadratically constrained quadratic programming for classification using particle swarms and applications

Particle swarm optimization is used in several combinatorial optimizatio...
11/24/2018

Design and analysis adaptivity in multi-resolution topology optimization

Multiresolution topology optimization (MTO) methods involve decoupling o...
03/07/2022

Find a Way Forward: a Language-Guided Semantic Map Navigator

This paper attacks the problem of language-guided navigation in a new pe...