TEM Software Publications Library

This paper applies synchrotron phase-contrast X-ray computed tomography to visualize acupuncture points and surrounding biological structures. The method provides non-destructive three-dimensional imaging with enhanced soft-tissue contrast.

This article describes new developments in the xraylib library for calculating X-ray–matter interaction cross sections. The software provides accurate physical data and computational tools for spectroscopy, imaging, and materials characterization applications.

areaDetector is a software framework for integrating two-dimensional detectors with EPICS-based control systems. The platform enables efficient acquisition, control, and processing of detector data in scientific facilities.

This research explores blind source separation of hyperspectral images within the DCT domain. The technique isolates mixed spectral components and improves interpretation of complex imaging data.

The study employs in-situ TEM to investigate structural and electrochemical processes occurring in lithium-ion batteries. Direct observation enables a deeper understanding of electrode behavior during operation.

xia2 is an expert system that automates macromolecular crystallography data reduction. The software streamlines processing workflows from raw diffraction images to merged datasets.

MTEX is a free open-source toolbox for crystallographic texture analysis. The software assists researchers in interpreting orientation data obtained from diffraction and electron backscatter measurements.

The paper introduces differential phase contrast and dark-field methods for neutron imaging applications. These techniques provide additional structural and scattering information beyond conventional transmission-based measurements.

This work examines domain behavior in multiferroic structures subjected to applied electrical bias. In-situ TEM observations reveal how domain configurations evolve in response to external stimuli.

This work presents segmentation methods for identifying red blood cells in SEM images. Automated image analysis improves efficiency and consistency in microscopy-based biological studies.

This paper presents SEM image-analysis techniques for nanoparticle quality control. Automated image processing enables quantitative assessment of particle size, shape, and distribution in nanomaterial production.

The authors present an abstraction-based framework for tomographic image reconstruction. The approach simplifies algorithm development while supporting flexible implementation of reconstruction workflows.

This paper explores the creation of three-dimensional sculptures and visual representations derived from SEM imagery. The work demonstrates how microscopy data can be transformed into informative 3D models.

The authors propose adaptive techniques for reducing the volume of large-scale transaction datasets. The method preserves analytical value while lowering storage and computational requirements.

This paper introduces a MEMS-based device designed for in-situ TEM testing of nanobeams. The platform enables controlled mechanical loading while simultaneously observing structural responses.

This study combines confocal laser scanning microscopy and FIB-SEM tomography to investigate vaccinia virus entry into cells. Correlative three-dimensional imaging reveals structural details of virus-host interactions.

The authors investigate fractal image informatics across scales ranging from SEM to digital elevation models. The work explores fractal analysis as a tool for understanding complex natural and engineered structures.

The study presents in-situ TEM mechanical testing of a silicon MEMS nanobridge. Direct measurements provide insight into nanoscale deformation and structural integrity under applied stress.

This contribution highlights the use of Open Babel within Python scripting environments. The toolkit enables manipulation, conversion, and analysis of chemical data through automated workflows.

This study presents a synchronized metadata system designed for personal television applications. The framework enhances content organization, navigation, and user interaction through coordinated metadata management.