LIBS

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Machine Deep learning algorithms, Artificial intelligence, AI, Automation and modern technology in business as concept. | Image Credit: © WrightStudio - stock.adobe.com
Revolutionizing Tissue Analysis: Femtosecond Double-Pulse LIBS with Machine Learning Breaks New Ground

November 12th 2024

A recent study presents a new technique that combines femtosecond double-pulse laser-induced breakdown spectroscopy (fs-DP-LIBS) with machine learning (ML) algorithms to significantly enhance tissue discrimination and signal quality, paving the way for more precise biomedical diagnostics.

Round straw bales on farmland | Image Credit: © ABCDstock - stock.adobe.com.
Laser Induced Breakdown Spectroscopy Combined with a Tuned Back Propagation Algorithm for Oil Crop Straw Combustion Smoke Detection and Traceability

November 8th 2024

Secrets hidden in the depths blue sea. Generated with AI. | Image Credit: © Piyawat - stock.adobe.com
Boosting Deep-Sea Mineral Exploration with LIBS

October 24th 2024

An environmental engineer in protective gear meticulously collects a water sample from a sewage treatment plant for quality testing and analysis. Generated with AI. | Image Credit: © TensorSpark - stock.adobe.com
Evaluating the Impact of ICP-MS and LIBS on Environmental Monitoring

September 23rd 2024

Best of the Week: The Future of Forensic Analysis, Next-Gen Mineral Identification
Best of the Week: The Future of Forensic Analysis, Next-Gen Mineral Identification

September 20th 2024

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The SuperCam Remote Sensing Instrument Suite for the Mars 2020 Rover: A Preview

May 1st 2017

The SuperCam remote sensing instrument suite under development for NASA’s Mars 2020 rover performs laser-induced breakdown spectroscopy (LIBS), remote Raman spectroscopy, visible and infrared (VISIR) reflectance spectroscopy, acoustic sensing, and high resolution color imaging. The instrument builds on the successful architecture of the ChemCam instrument which provides LIBS and panchromatic images on the Curiosity rover, adding the remote Raman spectroscopy by frequency doubling the laser and using a gated intensified detector to obtain Raman signals at distances to 12 m. To the visible reflectance spectroscopy used by ChemCam, an AOTF-based infrared spectrometer is added to cover the 1.3-2.6 µm range that contains important mineral signatures. A CMOS detector provides color (Bayer filter) images at a pixel resolution of 19 µrad and an optical resolution of 30 µrad. Sounds are recorded via a Knowles Electret microphone, which is the same one that was unsuccessfully attempted on two earlier missions. The acoustic signals of the LIBS plasmas will provide information on the hardness of the targets, while other sounds (wind, rover sounds) will also be recorded. The laser, telescope, IR spectrometer, and camera reside on the rover’s mast and are provided by CNES, while the LIBS, Raman, and VIS spectrometers and data processing unit are built by LANL and reside in the rover body. A calibration target assembly provided by U. Valladolid, Spain, resides on the back of the rover. The overall mass of the instrument suite is 10.7 kg.