HORIBA Scientific is the world-leading manufacturer of high performance spectroscopic instrumentation and photonics components. Our products offer unsurpassed sensitivity, precision, performance, and capabilities.
HORIBA Scientific offerings encompass Raman, fluorescence, elemental analysis, forensics, GDS, ICP, particle characterization, spectroscopic ellipsometry, sulfur-in-oil, water quality, XRF, and OEM spectrometers. We also provide components, custom and OEM solutions, and worldwide support.
Our global team is dedicated to providing researchers with the highest quality products and solutions by integrating and aligning HORIBA's core strengths of scientific research, development, applications, sales, service, and support.
Prominent acquired brands include Jobin Yvon, IBH, SPEX, Instruments S.A., ISA, Dilor, Sofie, SLM, Beta Scientific, Photon Technology, Inc. (PTI), and Optical Building Blocks (OBB).
HORIBA Scientific is part of the HORIBA Group, with manufacturing facilities in Edison, New Jersey, as well as in France and Japan. Sales, service, and applications facilities are located around the world.
Elsewhere: 5000
Multi-Analytical Study Reveals Complex History Behind Ancient Snake Motif in Argentine Rock Art
May 22nd 2025A recent study published in the Journal of Archaeological Science: Reports reveals that a multi-headed snake motif at Argentina's La Candelaria rock shelter was created through multiple painting events over time.
Fluorescence Spectroscopy Emerges as Rapid Screening Tool for Groundwater Contamination in Denmark
May 21st 2025A study published in Chemosphere by researchers at the Technical University of Denmark demonstrates that fluorescence spectroscopy can serve as a rapid, on-site screening tool for detecting pharmaceutical contaminants in groundwater.
New Deep Learning AI Tool Decodes Minerals with Raman Spectroscopy
May 21st 2025Researchers have developed a powerful deep learning model that automates the identification of minerals using Raman spectroscopy, offering faster, more accurate results even in complex geological samples. By integrating attention mechanisms and explainable AI tools, the system boosts trust and performance in field-based mineral analysis.