Since its inception in 1951, Rigaku has been at the forefront of analytical and industrial instrumentation technology. Today, with hundreds of major innovations to their credit, the Rigaku Group of Companies are world leaders in the fields of protein and small molecule X-ray crystallography, general X-ray diffraction (XRD and PXRD), X-ray spectrometry (EDXRF and WDXRF), X-ray optics, semiconductor metrology, Raman spectroscopy, laser induced breakdown (LIBS) spectrometry, automation, computed tomography, nondestructive testing, and thermal analysis.
Cement, petroleum, mining, refining, pulp and paper, wood treating, chemicals, pharmaceuticals, biotechnology, forensics, homeland security, defense, aerospace, energy, metals and alloys, life sciences, polymers and plastics, inks and dyes, cosmetics, nanomaterials, photovoltaics, semiconductors, chemistry, geology and minerals, physics, teaching, and academy.
Based in Tokyo, Japan, Rigaku is a global organization with offices, laboratories, and production facilities around the world. Major production facilities are located in Auburn Hills, Michigan; Austin, Texas; Boston, Massachusetts; Carlsbad, California; Osaka, Japan; Prague, Czech Republic; Tokyo, Japan; Wroclaw Poland ;Tucson, Arizona; The Woodlands, Texas; and Yamanashi, Japan.
Rigaku Corporation
4-14-4, Sendagaya
Tokyo 151-0051, Japan
TELEPHONE
+1(281) 362-2300
FAX
+1(281) 364-3628
E-MAILinfo@rigaku.com
WEB SITEwww.rigaku.com
NUMBER OF EMPLOYEES
Worldwide: 1400
YEAR FOUNDED
1951
Agilent Presents Awards to 3 Professors for Lithium-Ion Battery Research
January 15th 2025The Solutions Innovation Research awards were presented to Professor Anders Bentien of Aarhus University, Professor Walter Gössler of the University of Graz, and Professor Gregory Offer of Imperial College London.
Authenticity Identification of Panax notoginseng by Terahertz Spectroscopy Combined with LS-SVM
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January 14th 2025A combination of surface-enhanced Raman spectroscopy (SERS) and machine learning on microfluidic chips has achieved an impressive 98.6% accuracy in classifying leukemia cell subtypes, offering a fast, highly sensitive tool for clinical diagnosis.