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.
The authors develop quantitative methods for tensile fatigue testing of nanocrystalline ultrathin metallic films within a TEM. Real-time observations connect cyclic loading behavior with microstructural evolution and failure processes.
This paper explains cryo-EM structure determination from a Bayesian statistical perspective. The framework provides principled methods for handling uncertainty and improving reconstruction accuracy.
The paper demonstrates cardiac electrophysiology simulations accelerated across multiple GPUs. The implementation achieves substantial performance gains for large-scale biomedical computations.
The study proposes chunked extendible dense arrays for scientific data storage. The approach improves scalability and performance when managing large volumes of scientific information.
This article reviews the field of computational crystallography and its role in modern structural science. Computational methods are highlighted as essential tools for interpreting crystallographic data and material behavior.
Dynamo provides a flexible platform for subtomogram averaging in cryo-electron tomography studies. The software supports high-performance computing workflows and detailed macromolecular structure analysis.
The authors apply fast Fourier transform techniques to EDS spectrum imaging datasets. The methodology enhances signal interpretation and supports efficient extraction of chemical information.
Fiji extends ImageJ with a comprehensive collection of plugins and tools for biological image analysis. The open-source platform simplifies workflow development and supports reproducible research in microscopy and imaging sciences.
The authors investigate formation of the solid-electrolyte interphase in lithium-ion batteries using nonlinear vibrational spectroscopy. The study improves understanding of interfacial processes that influence battery performance.
This study investigates the lithiation of silicon using in-situ TEM techniques. Real-time observations reveal structural transformations, volume expansion, and reaction mechanisms important for lithium-ion battery anode development.
This landmark article reviews the evolution of NIH Image into ImageJ over twenty-five years of development. The platform has become a widely adopted tool for scientific image processing, analysis, and visualization across numerous research disciplines.
This article reviews spectroscopic imaging methods in electron microscopy. By combining structural and chemical signals, these techniques enable detailed investigation of material composition and functionality.
This chapter reviews total scattering methods and atomic pair distribution function analysis. The approach enables structural characterization of crystalline and disordered materials at the atomic scale.
EBSD-Image is an open-source engine for processing electron backscatter diffraction patterns. The framework gives users flexible control over pattern enhancement, analysis procedures, and indexing workflows.
The authors develop a computationally efficient algorithm for simulating lunar crater landscapes. The method generates realistic surface features while reducing processing requirements.
This chapter introduces HDF5, a widely used hierarchical data format for scientific computing. The format provides efficient storage, organization, and retrieval of large and complex datasets.
This study uses in-situ TEM to monitor thermal decomposition processes in CdTe and ZnTe nanowires. Real-time observations reveal structural evolution and degradation mechanisms under elevated temperatures.
This study examines crack propagation in nanoscale gold thin films using in-situ TEM. Direct observation of fracture processes improves understanding of reliability and failure in nanoscale structures.
The article reviews single-particle cryo-electron tomography for determining macromolecular structures in native environments. Combining tomography with averaging enables detailed visualization of biological assemblies.
The chapter explores synchrotron X-ray spectromicroscopy for studying actinide interactions with organic nanoparticles. Advanced imaging and spectroscopy techniques reveal nanoscale chemical behavior.