Scanning electron microscopy articles from across Nature Portfolio

Material properties prediction from a given microstructure is important for accelerated design but a comprehensive methodology is lacking. Here, a multi-method machine learning approach is utilized to understand the processing-structure-property relationship for differently processed porous materials.

A user-friendly approach for segmentation and spatial analysis of large volume electron microscopy datasets with open-source software tools

Advances will enable proteome-scale structure determination in cells.

To capture expansive, seamless fields of view from frozen hydrated specimens by cryo-electron tomography, we developed methods for the collection and processing of montage data. This approach enables rapid acquisition of contiguous regions of specimens using a montaged tilt series collection scheme.

Volume electron microscopy (vEM) is a group of techniques that reveal the 3D ultrastructure of cells and tissues through continuous depths of at least 1 micrometer. A burgeoning grassroots community effort is fast building the profile and revealing the impact of vEM technology in the life sciences and clinical research.

Technological advances in volume electron microscopy allow imaging and analysis of whole cells at record resolution.

Researchers have registered a gene expression atlas to a whole-body EM volume of a marine bristle worm.

Direct experimental observations reveal that grain boundaries in aluminium oxide migrate by a chain of structural phase transformations within the boundary core.