TEM Software Publications Library

This paper demonstrates the use of Bsoft for single-particle reconstruction and validation in a community benchmarking challenge. The workflow emphasizes map quality assessment and reproducible cryo-EM analysis.

SPHIRE-crYOLO delivers fast and accurate automated particle selection through deep neural network methods. The tool accelerates cryo-EM processing pipelines and minimizes the need for manual curation.

This work explores fluctuation electron microscopy as a method for probing medium-range order in amorphous materials. The technique uncovers structural features that are difficult to detect using conventional diffraction methods.

This work investigates the thermal stability of high-entropy alloys through in-situ TEM heating experiments. The observations provide insight into microstructural evolution and phase stability at elevated temperatures.

This paper reviews progress toward implementing in-situ TEM techniques for lithium-ion battery research. Direct observation of electrochemical processes helps advance understanding of battery performance and failure mechanisms.

This study applies dictionary-based indexing to accurately identify grain and phase boundaries in geological EBSD datasets. The methodology improves crystallographic mapping and boundary characterization in complex materials.

Atomap offers automated extraction of atomic column positions from high-resolution STEM images. By applying two-dimensional Gaussian fitting, the software improves structural quantification and reduces manual interpretation effort.

This study introduces methods for detecting defects in SEM images of nanofibrous materials. Automated image analysis supports quality assessment and manufacturing control of nanoscale fiber systems.

This work examines electrochemical measurement strategies for in-situ TEM experiments. The framework strengthens the connection between electrochemical data and nanoscale structural observations.

The authors showcase HyperSpy as a comprehensive environment for electron microscopy data analysis. The software facilitates exploration, statistical processing, and visualization of datasets ranging from simple spectra to large multidimensional acquisitions.

EMsoft provides open-source tools for simulating electron diffraction patterns and electron microscopy images. The software supports materials characterization and method development through physics-based modeling.

This review explores iridacycle compounds as catalysts for hydrogenation and dehydrogenation reactions. The discussion highlights their versatility, reaction mechanisms, and potential applications in synthesis.

MotionCor2 corrects anisotropic beam-induced specimen motion in cryo-electron microscopy images. The software increases image sharpness and contributes to higher-resolution structural results.

The authors demonstrate nanobeam scanning diffraction as a tool for mapping polymer orientations at high spatial resolution. The approach reveals local crystallographic organization and improves characterization of complex polymer structures.

PyXRF is a Python-based package for analyzing X-ray fluorescence datasets. The framework supports elemental mapping, spectral fitting, and automated processing of synchrotron XRF experiments.

QuPath is an open-source platform designed for digital pathology and whole-slide image analysis. It provides tools for biomarker quantification, tissue classification, and large-scale pathology research workflows.

This study investigates resistive switching mechanisms in memristive electrochemical metallization devices using three-dimensional kinetic simulations. The model captures ion transport, electric-field effects, and thermal processes that govern device performance.

This work describes software designed to process high-data-rate macromolecular crystallography datasets stored in CIF and NeXus/HDF5 formats. The tools support efficient handling of large experimental data streams.

The authors use synchrotron X-ray methods to characterize crack-induced strain fields in polygranular graphite. The analysis provides insight into damage evolution and fracture mechanisms in engineering materials.

This article reviews the broader ImageJ ecosystem and its role as an extensible platform for biomedical image analysis. The ecosystem supports plugin development, interoperability, and community-driven innovation.