HORIBA Scientific is the new global team created to focus on better meeting customers' present and future needs by integrating the scientific market expertise and resources of the HORIBA Group of companies.
HORIBA Scientific is the new global team created to focus on better meeting customers' present and future needs by integrating the scientific market expertise and resources of the HORIBA Group of companies.
HORIBA Scientific offerings encompass elemental analysis, fluorescence, Forensics, ICP, particle characterization, Raman, spectral ellipsometry, sulfur-in-oil, water quality, and XRF. Prominent absorbed brands include Jobin Yvon, IBH, SPEX, Instruments S.A, ISA, Dilor, Sofie, SLM, and Beta Scientific. Combining the strengths of the research, development, applications, sales, service and support organizations of its constituent companies, HORIBA Scientific will be able to supply researchers with the best products and solutions, and build on their reputation for superior service and support with a truly global network. HORIBA Scientific has offices in 22 countries and maintains an extended network of experienced distributors covering all others. Worldwide manufacturing sites and multiple sales, service, and applications offices mean improved local support in all markets. HORIBA is a global manufacturer of measurement and analytical devices, supplying a vast array of products into key markets, including automotive, biotechnology, environmental and utilities, medical, semiconductor, metallurgy, energy, pharmaceutical, and food science. HORIBA comprises forty-three companies and nearly 5,000 employees. With the creation of HORIBA Scientific, the company looks forward to a future of continuing to meet the changing product and support needs of their customers.
Best of the Week: SciX Award Interviews, Tip-Enhanced Raman Scattering
June 13th 2025Top articles published this week include an interview about aromatic–metal interactions, a tutorial article about the recent advancements in tip-enhanced Raman spectroscopy (TERS), and a news article about using shortwave and near-infrared (SWIR/NIR) spectral imaging in cultural heritage applications.
Hyperspectral Imaging for Walnut Quality Assessment and Shelf-Life Classification
June 12th 2025Researchers from Hebei University and Hebei University of Engineering have developed a hyperspectral imaging method combined with data fusion and machine learning to accurately and non-destructively assess walnut quality and classify storage periods.