Learn More About PerkinElmer’s Analytical Solutions
Nowadays, laboratories are expected to tackle quick turnaround times and meet lower detection limits, while at the same time deliver high levels of sample accuracy – and although workloads and workflows may vary, the need to work quickly doesn’t. Plus, labs are looking to lower operating.
Universal Data Acquisition for ICP Software
Universal Data Acquisition (UDA) in Syngistix™ software, available as a standard feature for the Avio® 550/560 Max ICP-OES systems, allows for simultaneous acquisition of all available wavelengths all of the time with a single click of the mouse. It provides full wavelength coverage with minimal impact to the analysis time – instead of having to rerun your samples, with UDA enabled, you can simply add the new wavelengths to your method and request the data by reprocessing your sample data. Plus, it has minimal impact to the hard drive space needed to store the data.
Drinking Water ICP-MS Analysis Customer Story at Northeast Laboratory
Services, accuracy and time-to-results for their customers are critical. Hear from Ian Guite, Metals Analyst, on how the PerkinElmer NexION®1000 with High Throughput System (HTS) revolutionized their environmental lab’s productivity without compromising on accuracy for analysis of drinking water. The NexION® 1000 with HTS enabled them to reduce their sample processing time by over 30%, translating to a higher productivity and results to their customers in shorter time.
NexION 5000 ICP-MS Animated Video
The award-winning NexION® 5000 multi-quadrupole ICP-MS, the first in its category to boast four quads, is engineered to meet and exceed the demanding trace-elemental testing requirements of semiconductor, biomonitoring and other applications.
Extended Dynamic Range Feature on NexION ICP-MS Series Instruments
Need to analyze both low- and high-concentration elements? The NexION® ICP-MS series’ Extended Dynamic Range (EDR) can do this in a single analytical run – watch this video to see how it works and how it will help your laboratory.
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.
