Key publications, open-source tools, and research directions in TEM automation, 4D-STEM, tomography, and AI-assisted microscopy.
Software is now central to modern transmission electron microscopy. Today’s TEM and STEM workflows depend on automated acquisition, microscope scripting, detector synchronization, tomography reconstruction, 4D-STEM analysis, machine learning, and increasingly autonomous experimental control.
This publication library curates influential papers, software platforms, and research directions that have shaped the software ecosystem for modern electron microscopy.
This research investigates atomic vapor spectroscopy implemented within integrated photonic devices. The platform combines waveguides and atomic interactions to enable compact spectroscopic applications.
The paper introduces an in-situ TEM holder that combines electrical biasing and heating capabilities for battery characterization. The platform enables direct observation of electrochemical and thermal processes.
CTFFIND4 provides rapid and accurate estimation of microscope defocus parameters from electron micrographs. The tool supports essential image correction steps in cryo-EM processing pipelines.
The paper uses liquid-cell TEM to monitor dissolution processes in silicate minerals. The approach provides direct evidence of reaction pathways and mineral-fluid interactions under realistic conditions.
The authors perform in-situ TEM mechanical testing on nanocrystalline zirconium thin films. Real-time observations reveal deformation mechanisms and structural responses at the nanoscale under applied loads.
MULTEM introduces CUDA-based acceleration for multislice electron microscopy simulations. By leveraging GPUs, the software dramatically reduces computation time while preserving high-fidelity diffraction and imaging results.
This work introduces an educational software toolkit for teaching X-ray fluorescence analysis. The platform helps students understand analytical principles through interactive computational tools and simulations.
The ASTRA Toolbox provides a platform for developing advanced electron-tomography reconstruction algorithms. The software supports flexible experimentation with imaging and computational techniques.
The authors use operando TEM and STEM techniques to investigate nanoscale processes occurring within battery systems. Real-time observations reveal dynamic structural and chemical changes during device operation.
This study presents a methodology for three-dimensional grain orientation mapping in nanocrystalline materials using transmission electron microscopy. The approach enables detailed characterization of grain structures that are difficult to resolve with conventional techniques.
The paper evaluates advanced reconstruction algorithms designed for electron tomography applications. These methods improve volumetric accuracy, artifact suppression, and structural detail recovery.
This article introduces a micro-scale strain rosette for residual stress measurements using the SEM moire method. The technique enables precise local strain and stress characterization at small scales.
The authors review computational methods used in propagation-based X-ray phase imaging. These techniques improve phase retrieval, image reconstruction, and quantitative interpretation of phase-contrast measurements.
This work introduces cryogenic FIB lift-out techniques for preparing soft-matter samples for TEM analysis. The method minimizes preparation-induced damage and improves imaging of sensitive materials.
The paper demonstrates the use of Rietveld refinement in the crystallographic analysis of dielectric powders. The approach supports accurate determination of crystal structures and phase compositions.
DREAM.3D is a software environment for analyzing and manipulating three-dimensional microstructure data. The platform supports segmentation, quantification, visualization, and digital materials characterization workflows.
The paper demonstrates fast environmental TEM imaging of carbon nanotube nucleation and growth. High-speed observations provide valuable insight into the mechanisms governing nanotube formation.
The paper examines grain-boundary segregation phenomena in nanocrystalline alloys. The analysis explains how solute distribution influences stability, microstructure evolution, and material properties.
This research identifies graphite particle cracking as an important degradation mechanism in lithium-ion batteries. The findings provide insight into factors that influence battery lifetime and reliability.
The authors investigate helium bubble formation in nuclear glass through in-situ TEM ion implantation experiments. The findings improve understanding of radiation-induced damage and long-term material stability.