Used BRUKER-AXS AXS D8 Discover #9269019 for sale

BRUKER-AXS AXS D8 Discover is an advanced X-ray equipment with a range of capabilities that make it perfect for exploring and studying the physical and chemical properties of solid materials. It features both optical and X-ray imaging techniques so that users can view a sample from either the surface or inside the material. The fast goniometer on the system offers very high precision and accuracy, allowing for rapid tilt angles, automated point scanning, and multiple x-ray sources. The unit also comes with a high-performance motorized X-ray source, allowing for flexible beam parameters, a powerful generator, and an optimized collimation machine. BRUKER-AXS D8 DISCOVER also offers an automated data acquisition tool with rapid data acquisition and analysis, as well as a Computational Image Reconstruction (CIR) module for 3D surface reconstruction. This asset is ideal for research in crystallography, crystallography, and crystallography facets such as texture, crystallinity, microstructure, and growth mechanisms. On top of the capabilities mentioned, the model is equipped with a wide array of detectors, including two-dimensional detectors, energy-dependent detectors and an array of vacuum and gas cells. It also comes with several software packages for diffraction analysis such as TOPAS, a software for global curve fitting, and FIT2D, a software for two-dimensional indexing and pattern transformation. The X-ray equipment offers an easy-to-use electrical interface to enable remote control of all the operational features of the device. Furthermore, it is equipped with a range of diagnostic tools that enable users to carry out experiments with maximum safety. The system has also undergone rigorous tests to ensure that it meets all safety requirements and regulations. The combination of capabilities and features found in AXS D 8 DISCOVER makes it a perfect X-ray unit for a variety of applications, from small studies to larger research projects. It is ideal for laboratories with limited resources, since it does not require large investments and can be used even in complex experiments.