issue contents
Image-processing methods for electron microscopy of biological specimens
Edited by Carlos Oscar Sorzano, Alberto Bartesaghi and Amit Singer
This virtual issue collects together articles on image-processing methods for electron microscopy of biological specimens.

Cover illustration: The ManifoldEM method for conformational heterogeneity analysis in single-particle cryo-EM has been made more accessible. An optical flow visualization for thyroglobulin projection directions is shown.
Free 

The focused issue on Image-processing methods for electron microscopy of biological specimens is introduced. The virtual issue is available at https://journals.iucr.org/special_issues/2025/imageprocessing.
Open
access

TomoCPT: a generalizable model for 3D particle detection and localization in cryo-electron tomograms
TomoCPT is a generalizable transformer-based 3D particle-picking tool for cryo-tomographic data.
The ManifoldEM method for conformational heterogeneity analysis in single-particle cryo-EM was first presented nearly a decade ago; however, its accessibility to a wide audience has been limited. Here, we describe a step-by-step breakdown accompanied by a modern Python implementation with increased usability, enhanced performance and improved accessibility to future feature additions.
Open
access

Cryo-EM density-map inference, with fixed pose and contrast transfer function, using a multi-resolution hash-encoding framework called instant-NGP, is described, together with its extension to heterogeneity inference by bending space with a per-image vector field.