Updated: May 2, 2026

Quantifying Intermembrane Distances with Serial Image Dilations
Published on: September 28, 2018
Renmin Han1, Fa Zhang2, Xiaohua Wan2
1Key Lab of Intelligent Information Processing and Advanced Computing Research Lab, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing, China.
You might also read
Articles linked to this work by shared authors, journal, and citation graph.
This study introduces a novel marker-free alignment method for electron tomography using Scale-Invariant Feature Transform (SIFT). The new approach achieves alignment accuracy comparable to fiducial marker methods, enabling higher resolution reconstructions.
Area of Science:
Background:
Purpose of the Study:
Main Methods:
Main Results:
Conclusions: