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- Bruker Announces New High-Performance Scientific Instruments and Analytical Solutions for Life-Science Research, Industrial and Applied Markets at Analytica 2012
- Bruker Announces Acquisition of SkyScan, a Leading Provider of Micro-CT Systems for 3D X-Ray Imaging in Materials Research and Preclinical Studies
- Bruker Expands its Small Angle X-ray Scattering (SAXS) Product Portfolio
- Bruker Acquires Hecus MICROcaliX(R) Product Line to Expand Product Portfolio for Small Angle X-ray Scattering (SAXS)
- Application Report XRD 13 - D2 PHASER Desktop XRD
Upcoming Events
- OrthoTec 2012
Jun 06-07, Winona Lake, IN, USA - ACHEMA 2012
Jun 18-22, Frankfurt/M., Germany - Seeing at the Nanoscale 2012
Jul 09-11, Bristol, UK - ACA Annual Meeting
Jul 28-Aug 01, Boston, Massachusettes, USA - ACS Fall
Aug 19-21, Philadelphia, Pennsylvania, USA
PolySNAP – High-Throughput XRD Data Analysis for Research, Development and Production Control
PolySNAP is a general-purpose suite of cluster analysis and visualisation tools that can be used on many types of 1D spectroscopic or diffraction data (PXRD, IR, NMR, Raman etc.) as well as raw numeric data (e.g. melting points), or even 3D geometric structural information.
The powerful cluster analysis tools and clean, elegant and informative graphic displays allow for high-throughput analysis of any kind of numeric data, and make getting a handle on your datasets – large or small – a pleasure.
PolySNAP allows up to four different datasets to be analysed simultaneously (or a single dataset with up to four different processing options). Uniquely, it can also combine the results from individual datasets to show the overall picture of what’s going on.
PolySNAP is developed at the University of Glasgow, and exclusively distributed by Bruker AXS.
Applications
- Phase identification
- Pass / fail analysis
- Similarity analysis
- Automatic mixture detection
- Automatic amorphous phase detection
- Quantitative analysis of mixtures
- Quality Control
- Polymorph / Salt Screening systems
- On-line / Off-line sample analysis


