Hybrid Photon Counting (HPC) detectors have transformed measurement methods and data collection strategies at synchrotrons over the last 10 years. The absence of readout noise and the extremely high photon flux capability increases achievable signal-to-noise ratio, which is often the key parameter of the experiment. In addition, diffraction patterns can be recorded at rates of up to several thousand per second, which makes time-resolved studies and scans over large sample volumes (relative to the diameter of the beam) possible.
HPC detector systems are essentially maintenance-free and provide excellent data at room temperature operation — without the need for auxiliary equipment. DECTRIS systems revolutionized X-ray detection at synchrotron beamlines because of their high performance and simple operation. Realize your scientific ambitions!
The knowledge of the three-dimensional structure of organic macromolecules is important for understanding biological function. Read more
Chemical crystallography is used to determine the structures of compounds of chemical and biological interest from single crystals. Read more
Small-angle X-ray scattering (SAXS) is used to study morphological details of the nanostructure. It covers a wide range of samples. Read more
Due to the MYTHEN2 Series’ short data acquisition time and high spatial resolution, numerous advances in the structural characterization of polycrystalline samples have been reported. Read more
Typical material science experiments probe the dynamic response of a sample to environmental parameter changes such as pressure, temperature, etc. Read more
Modern synchrotron sources provide a massive increase in coherent flux. Coherent diffraction imaging (CDI) overcomes the resolution limit of X-ray optics to determine structures to better than 100 nm resolution. Read more
DECTRIS’ HPC-detectors feature extremely small strips or pixels and large active areas. This makes them ideal for collecting the high-resolution data over an energy range of several KeV in a single shot. Read more ...
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