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 work introduces phase-scrambling multislice simulations to examine precession electron diffraction. The method improves understanding of diffraction behavior and supports more realistic modeling studies.
The article discusses quantitative simulation methods for TEM and STEM experiments. These computational approaches help researchers compare observations with theoretical predictions and improve interpretation accuracy.
The study combines STEM, EELS, and EDX techniques for dopant characterization in nanoscale silicon devices. The integrated workflow provides detailed compositional mapping at technologically relevant dimensions.
This work applies STEM electron tomography to reconstruct three-dimensional gold nanostructures. The technique provides detailed visualization of morphology and internal architecture beyond conventional imaging methods.
This study explores the relationship between surface potential and secondary-electron detection in scanning electron microscopy. The findings contribute to improved interpretation of image contrast and charging effects.
This chapter introduces the principles of synchrotron X-ray absorption tomography for three-dimensional materials characterization. The technique exploits variations in attenuation and density to reveal internal structures with high spatial resolution.
This work examines texture evolution during phase transformations through in-situ neutron diffraction measurements. The approach provides insight into crystallographic changes occurring during material processing and transformation.
This paper introduces CellProfiler as a free and versatile solution for automated biological image analysis. Its modular workflow design allows researchers to process large imaging datasets efficiently and reproducibly.
This research analyzes electromigration reliability in nanoscale copper interconnects. The findings highlight how microstructure and processing conditions influence long-term device durability.
EMAN2 provides an extensible image-processing environment for electron microscopy data analysis. The suite supports reconstruction, visualization, and workflow customization for a broad range of structural biology applications.
This chapter reviews common image file formats and compression techniques used in medical imaging. It explains trade-offs between storage efficiency, image quality, and data accessibility.
This article reviews in-situ nanoindentation techniques performed inside a transmission electron microscope. The approach combines mechanical testing with direct imaging to reveal deformation mechanisms at nanometer scales.
TomoJ offers a software suite for three-dimensional reconstruction from transmission electron tomography experiments. The platform integrates alignment, reconstruction, and visualization functions to reveal cellular and material structures.
The article discusses issues surrounding access to scientific data and the importance of data sharing within the research community. It highlights challenges and opportunities related to openness, accessibility, and collaboration.
CellProfiler provides automated image-analysis capabilities for identifying and quantifying cellular phenotypes. The software enables high-throughput biological experiments by reducing the need for manual image evaluation.
The study examines practical considerations for automated multi-frame particle sizing in scanning electron microscopy. The approach aims to improve throughput, reliability, and statistical robustness in particle characterization.
The paper presents data-analysis tools designed for sensor-based scientific research. The framework assists in managing, processing, and interpreting large volumes of data generated by distributed sensor networks.
The study examines grain growth in zirconium-iron thin films exposed to ion irradiation inside a TEM. Observations reveal how radiation influences microstructural development and material stability.
This work characterizes the performance of hard X-ray imaging instruments at the SPring-8 synchrotron facility. The evaluation provides insight into imaging quality, resolution, and instrument capabilities.
This work presents a sampling-based framework for evaluating reliability in large-scale communication networks. The approach estimates network performance characteristics without exhaustive simulation.