Search Thermo Fisher Scientific
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Improve your understanding of the structure, properties, and performance of materials with 3D visualization and analysis software. Thermo Scientific Avizo Software for DualBeam microscopes provides optimized workflows for advanced materials characterization and quality control.
Pre-processing your raw data accelerates getting good results, saving time and money.
3D visualization tools let you explore your materials with interactive scene and direct object manipulation.
Pre-processing clears your data of artifacts, noise and misalignments. Automatic segmentation uses Machine Learning models to automate repetitive tasks for maximum efficiency and high-quality analysis.
Avizo Software for DualBeam microscopy provides a reliable, fully automatable, customizable, and easy-to-use solution. Innovate faster and produce highly reliable materials that perform better.
The research shows that by a careful choice of the jetting strategy and sintering treatments 3D structures of various complexity can be formed. This research paves the way towards the next generation metal additive manufacturing where various printing resolutions and multi-material capabilities could be used to obtain functional components for applications in printed electronics, medicine and the automotive sectors.
For the first time, large volume analytical serial sectioning tomography of an organic composite coating using a xenon Plasma Focused Ion Beam (PFIB) is combined with secondary electron imaging, energy dispersive X-ray (EDX) spectrum imaging (SI) and electron backscattered diffraction (EBSD). Together these techniques provide a comprehensive quantitative description of the physical orientation and distribution of the pigments within a model marine ballast tank coating, as well as their crystallographic and elemental characterisation.
Advanced nanotomographic analysis is still far from routine, and a number of challenges remain in data acquisition and post-processing. In this work, we present a number of techniques to improve the quality of the acquired data, together with easy-to-implement methods to obtain “advanced” microstructural quantifications. The techniques are applied to a solid oxide fuel cell cathode of interest to the electrochemistry community, but the methodologies are easily adaptable to a wide range of material systems.