Waters Corporation, the premium brand in the analytical instruments industry since 1958, creates business advantages for laboratory-dependent organizations by delivering practical and sustainable scientific innovation to enable significant advancements in such areas as: healthcare delivery, environmental management, food safety, chemical materials analysis, and water quality worldwide. Waters helps customers make profound discoveries, optimize laboratory operations, deliver product performance, and ensure regulatory compliance by providing a connected portfolio of separations and analytical science, mass spectrometry, laboratory informatics, as well as thermal analysis products.
Waters operates cGMP, ISO 13485:2003, and ISO 9001-2008-certified manufacturing plants in Milford, Massachusetts (instruments and parts); Wilmslow, UK (mass spectrometers); Taunton, Massachusetts (chemistries); and Wexford, Ireland (chemistries and mass spectrometers). Waters' Milford facility is also approved for Part 1, Canadian Medical Device Regulations (CMDR). Waters operates 23 United States facilities and 78 international facilities, including field offices.
34 Maple Street
Milford, MA 01757
TELEPHONE
(508) 478-2000
(800) 252-4752
FAX
(508) 872-1990
Worldwide: 6500+
1958
twitter.com/WatersCorp - @WatersCorp
AI, Deep Learning, and Machine Learning in the Dynamic World of Spectroscopy
December 2nd 2024Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning (ML) and the mathematical approaches relevant to the AI topic. In this article we summarize AI coverage and provide the reference links for a series of selected articles specifically examining these subjects. The resources highlighted in this overview article include those from the Analytically Speaking podcasts, the Chemometrics in Spectroscopy column, and various feature articles and news stories published in Spectroscopy. Here, we provide active links to each of the full articles or podcasts resident on the Spectroscopy website.
Diffuse Reflectance Spectroscopy to Advance Tree-Level NSC Analysis
November 28th 2024Researchers have developed a novel method combining near-infrared (NIR) and mid-infrared (MIR) diffuse reflectance spectroscopy with advanced data fusion techniques to improve the accuracy of non-structural carbohydrate estimation in diverse tree tissues, advancing carbon cycle research.
Mass Spectrometry for Forensic Analysis: An Interview with Glen Jackson
November 27th 2024As part of “The Future of Forensic Analysis” content series, Spectroscopy sat down with Glen P. Jackson of West Virginia University to talk about the historical development of mass spectrometry in forensic analysis.