Innovative 3D CTF Correction Techniques for Cryo-ET of Individual Particles

Cryo-electron tomography (Cryo-ET) and subtomogram averaging techniques are highly effective in revealing high-resolution molecular structures. In this technique, accurate Contrast Transfer Function (CTF) correction is essential, as it profoundly affects image quality. This impact arises from various factors, including electron beam characteristics, sample thickness, diffraction phenomena, and lens aberrations. Traditional two-dimensional CTF(2D-CTF) correction methods become inadequate when Cryo-ET is increasingly applied to thicker samples and multi-angle imaging scenarios, since variations in defocus along the tilt axis lead to resolution deterioration. To address this challenge, a novel methodology, termed the Focus Defocus Changes Contrast Transfer Function (FDC-CTF), is put forward as a new type of three-dimensional Contrast Transfer Function (3D-CTF) method. This method geometrically determines the degree of particle defocus based on their coordinates within tomographic slices, effectively tackling the defocus gradient issues induced by sample thickness and tilting. Furthermore, a new workflow is proposed where, after obtaining the particle coordinates, each particle undergoes individual 3D-CTF correction, thereby enhancing the overall accuracy and efficiency of the process. We use two datasets to demonstrate the effectiveness of our method, showcasing its superior performance in alignment accuracy compared to existing methods. It provides a powerful solution for tomographic reconstruction.

Authors

Institutions

Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/bibm62325.2024.10821841
Primary Topic
Nuclear Physics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Innovative 3D CTF Correction Techniques for Cryo-ET of Individual Particles

Xiaohua Wan, Shiwei Liu, Xuan Wang, Zhang Fa et al.
Nuclear Physics and Applications
article

Innovative 3D CTF Correction Techniques for Cryo-ET of Individual Particles

Xiaohua Wan, Shiwei Liu, Xuan Wang, Zhang Fa, Xinsheng Wang
article en

Abstract

Cryo-electron tomography (Cryo-ET) and subtomogram averaging techniques are highly effective in revealing high-resolution molecular structures. In this technique, accurate Contrast Transfer Function (CTF) correction is essential, as it profoundly affects image quality. This impact arises from various factors, including electron beam characteristics, sample thickness, diffraction phenomena, and lens aberrations. Traditional two-dimensional CTF(2D-CTF) correction methods become inadequate when Cryo-ET is increasingly applied to thicker samples and multi-angle imaging scenarios, since variations in defocus along the tilt axis lead to resolution deterioration. To address this challenge, a novel methodology, termed the Focus Defocus Changes Contrast Transfer Function (FDC-CTF), is put forward as a new type of three-dimensional Contrast Transfer Function (3D-CTF) method. This method geometrically determines the degree of particle defocus based on their coordinates within tomographic slices, effectively tackling the defocus gradient issues induced by sample thickness and tilting. Furthermore, a new workflow is proposed where, after obtaining the particle coordinates, each particle undergoes individual 3D-CTF correction, thereby enhancing the overall accuracy and efficiency of the process. We use two datasets to demonstrate the effectiveness of our method, showcasing its superior performance in alignment accuracy compared to existing methods. It provides a powerful solution for tomographic reconstruction.

Beijing Institute of Technology (CN), Donghua University (CN)
Openalex Percentile: Top 66%
Nuclear Physics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.