Infrared Chemical Imaging Redefined
The Thermo Scientific Nicolet iN10 MX infrared imaging microscope, engineered specifically for chemical imaging analysis, provides users with complete sample information, while maintaining the speed, sensitivity, and resolution of traditional infrared microscopy.
The Thermo Scientific Nicolet iN10 MX infrared imaging microscope, engineered specifically for chemical imaging analysis, provides users with complete sample information, while maintaining the speed, sensitivity, and resolution of traditional infrared microscopy. Combining light microscopy optics with an integrated FTIR spectrometer the Nicolet™ iN™10 MX saves space, reduces costs, and can be operated easily. Thermo Fisher Scientific, Waltham, MA; Visit Thermo online
Radar and Soil Spectroscopy Boost Soil Carbon Predictions in Brazil’s Semi-Arid Regions
July 7th 2025A new study published in Geoderma demonstrates that combining soil spectroscopy with radar-derived vegetation indices and environmental data significantly improves the accuracy of soil organic carbon predictions in Brazil’s semi-arid regions.
Deciphering Fossil Preservation in Brazil’s São Carlos Shale Using Analytical Spectroscopy
July 7th 2025A new study published in the Journal of South American Earth Sciences reveals how microbial activity, low pH conditions, and sediment chemistry in Brazil’s São Carlos Shale uniquely preserved diverse Upper Cretaceous fossils, offering fresh insights into the paleoenvironment of the Bauru Basin.
CRAIC Technologies Announces Launch of Maceral Identification Solution for Coal Analysis
July 3rd 2025In a press release, CRAIC Technologies announced the launch of its novel maceral identification solution that is designed to improve coal analysis. This new system contains high-speed imaging, servo-driven scanning, and intelligent software that work together to generate more accurate maceral analysis.
AI Boosts SERS for Next Generation Biomedical Breakthroughs
July 2nd 2025Researchers from Shanghai Jiao Tong University are harnessing artificial intelligence to elevate surface-enhanced Raman spectroscopy (SERS) for highly sensitive, multiplexed biomedical analysis, enabling faster diagnostics, imaging, and personalized treatments.
