TEM Software Publications Library

This study measures strain evolution in composite battery electrodes during electrochemical cycling. The results help explain mechanical degradation and performance changes in energy storage systems.

The authors develop methods for quantifying TEM lamella thickness and gallium implantation effects during focused ion beam preparation. Accurate measurements improve sample quality assessment and analytical reliability.

The authors investigate reduction and oxidation reactions occurring during densification of iron oxide nanoparticles. In-situ TEM enables direct observation of chemical transformations and microstructural changes during processing.

The authors propose a template matching technique that remains robust under varying lighting conditions through tone mapping transformations. The method improves matching reliability in challenging imaging environments.

The authors review phase-change materials and their application in phase-change memory technologies. The discussion explains reversible amorphous-crystalline transformations that enable nonvolatile data storage.

The study describes remote-access capabilities for the BL17U beamline at the Shanghai Synchrotron Radiation Facility. The system enables users to conduct crystallography experiments and manage beamline operations from remote locations.

This chapter reviews soft X-ray scanning transmission spectromicroscopy as a technique for chemical and structural characterization at the microscale. The method combines imaging and spectroscopy to investigate complex biological and mineralized materials.

The authors review synchrotron X-ray spectroscopic techniques used in geochemistry and materials science. These methods enable detailed investigation of elemental composition and chemical environments.

TomoPy is an open-source framework designed for processing and analyzing synchrotron tomographic datasets. The software provides reconstruction, visualization, and data-analysis tools for large-scale imaging experiments.

The paper demonstrates how Python can automate common building energy simulation workflows. The framework reduces manual effort, increases reproducibility, and accelerates building performance studies.

The paper demonstrates compressed sensing techniques for electron tomography. By exploiting data sparsity, the method improves three-dimensional reconstruction quality while reducing acquisition demands.

This study presents a method for precise registration of SEM and AFM images using Monte Carlo simulations. Improved image alignment enables more accurate multimodal analysis and data interpretation.

GSAS-II is an open-source crystallography software suite designed for diffraction data reduction, structure solution, and refinement. The package supports both neutron and X-ray diffraction experiments across a wide range of research applications.

This study examines the two-phase lithiation behavior of amorphous silicon nanospheres using in-situ TEM. Real-time imaging reveals structural changes relevant to high-capacity battery anode materials.

Larch is an analysis package for XAFS and related spectroscopic methods. The software offers data-processing, modeling, and visualization capabilities for spectroscopy research.

MALTS provides a simulation tool that generates Lorentz TEM images from micromagnetic models. The software helps researchers investigate magnetic domain structures and compare simulations with experiments.

This work introduces a marker-free approach for aligning dual-axis tilt series. The technique avoids reliance on fiducial particles while maintaining accurate registration of tomography datasets.

pyarbus is a Python library developed for eye-tracking data analysis. The package provides tools for processing gaze information and conducting quantitative behavioral studies.

PyFAI is a high-performance Python library for azimuthal integration of diffraction data. GPU acceleration enables rapid processing of one-dimensional and two-dimensional scattering measurements.

The study examines SEM-EDS quantification methods for uncoated non-conductive samples. The approach addresses analytical challenges associated with specimen charging while maintaining compositional accuracy.