Laboratory Microscope
New Raman Microscope Enables High-Resolution Materials Analysis
Mar 01 2014
Materials scientists, engineers, and academic researchers can accelerate their research and understand materials in applications ranging from pharmaceutical formulation and life sciences to semiconductor manufacturing and geology using a new Raman imaging microscope. The microscope is so easy to operate that scientists of all abilities can simply walk up and use it to produce stunning chemical images without learning a new technique.
Designed to quickly reveal molecular structure, chemical composition and sample morphology, the Thermo Scientific DXRxi Raman imaging microscope can provide new insights, identify defects and confirm product quality with a high degree of confidence. By employing the image-centric software interface, users can quickly profile materials through information-rich chemical images.
Instant visual feedback and instinctive image-driven control separates this instrument from other Raman microscopes. The DXRxi microscope can analyse large areas, providing microscopic detail in just seconds. Organisations with multiple disciplines can leverage the simplicity and approachability of the DXRxi microscope to realise an immediate impact in research output.
“The DXRxi microscope enables scientists to find the needle in a haystack quickly,” said Ryan Kershner, Product Manager, Raman Spectroscopy, Thermo Fisher Scientific. “Because this high-powered microscope is so simple to operate, students and expert microscopists can rapidly collect data and answer complex questions in a variety of fields, from biological tissue to carbon nanotube research.”
The DXRxi microscope offers the following features: new Thermo Scientific OMNICxi image-centric software provides visually driven data acquisition and intuitive sample targeting and parameter optimisation; automated alignment and calibration saves time and frustration; near-instant visual chemical profiling requires no spectroscopic expertise to interpret; ability to analyse large samples quickly.
CMS
Melanie Floyd
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