TEM Software Publications Library

The study compares thermographic measurements with digital image correlation during tensile testing of paper. Combining the techniques provides complementary information about deformation and damage evolution.

Trainable Weka Segmentation integrates machine-learning methods into microscopy image analysis. The tool allows users to create custom pixel-classification models that improve segmentation accuracy in complex datasets.

This work highlights the open-source MULTEM platform for precise electron microscopy simulations. The package incorporates advanced scattering models and delivers rapid calculations suitable for realistic experimental studies.

The authors propose a compressed-sensing reconstruction algorithm for synchrotron-based X-ray phase-contrast computed tomography. The approach improves image reconstruction quality while reducing data requirements.

The article reviews corrosion and passivation mechanisms in magnesium alloys. Understanding these processes is essential for improving durability and corrosion resistance in structural applications.

DeepPicker uses deep learning to automate particle picking in cryo-EM datasets. The method reduces user effort while maintaining reliable detection performance across diverse imaging conditions.

EMPIAR acts as a public repository for raw electron microscopy image datasets. The archive supports data sharing, transparency, benchmarking, and reuse across the microscopy community.

The ASTRA toolbox provides fast and adaptable tomography algorithms accelerated by modern computing hardware. Its modular architecture supports reconstruction research across a broad range of imaging applications.

The authors demonstrate the creation of super-oscillatory electron beams capable of achieving features beyond traditional diffraction limits. The technique opens new opportunities for ultra-high-resolution electron imaging and beam shaping.

This article discusses preparation methods, opportunities, and challenges associated with in-situ TEM studies of all-solid-state fluoride-ion batteries. The work highlights experimental strategies for reliable electrochemical characterization.

This work presents in-situ tensile testing of silica glass membranes inside a TEM. Real-time mechanical characterization reveals deformation and failure behavior at small length scales.

This reference introduces the principles, instrumentation, and applications of liquid-cell electron microscopy. The technique allows visualization of materials and processes in liquid environments with high spatial resolution.

The paper reviews liquid-cell TEM methods for studying electrochemical reactions in real time. These approaches provide direct insight into mechanisms governing batteries, corrosion, and related systems.

The authors describe ISTEM-based methods for highly precise atomic column position measurements. The approach improves quantitative structural characterization at atomic resolution.

This paper reviews developments made within the MULTEM simulation framework. Recent enhancements broaden its capabilities, improve computational efficiency, and support more realistic electron microscopy modelling.

Scipion serves as an integration framework that connects multiple cryo-EM software packages within a unified environment. The platform promotes reproducibility, workflow traceability, and result validation.

This article uses synchrotron X-ray computed tomography to characterize defects in additively manufactured titanium components. The analysis reveals internal flaw distributions and supports process-quality assessment.

The paper describes X-ray microtomography capabilities at the Shanghai Synchrotron Radiation Facility. The technique supports detailed three-dimensional imaging of materials and biological specimens.

This research reconstructs three-dimensional fiber systems using electron tomography. The technique reveals spatial organization and morphology that are difficult to capture from two-dimensional projections alone.

The paper proposes a compilation architecture for data analytics workflows built around user-defined functions. The framework optimizes execution efficiency and simplifies management of complex analytical pipelines.