EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD ...

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Spectral AI (NASDAQ: MDAI) (“Spectral AI” or the “Company”), developer of the AI-driven DeepView® System, which received Breakthrough Device Designation from the U.S. Food and Drug Administration ...

A two-step workflow to extract pure mass spectra from comprehensive two-dimensional liquid chromatography high-resolution ...

In an attempt to resolve these limitations of linear analytical methods, Holo-Hilbert Spectral Analysis (HHSA) was investigated as a potential approach for examination of non-linear and non-stationary ...

With this breakthrough, we may soon see a future where spectral sensing technology becomes as ubiquitous and accessible as ...

A joint study between the Institute for Environment and Energy, Technology and Analytics (IUTA e. V., Duisburg, Germany) and Heinrich Heine University Düsseldorf (Germany) explored the combination of ...

Combining machine learning with surface-enhanced Raman scattering spectroscopy makes the analytical tool more powerful ...

Abstract: For the coupled thermo-mechanical simulation of complex electronic devices, we propose a Tetrahedral Spectral Element Method (TSEM), which truly combines the high accuracy of spectral ...

RainbowSTORM is an open-source, user-friendly ImageJ/Fiji plug-in for end-to-end spectroscopic analysis and visualization of sSMLM data. RainbowSTORM provides a variety of spectroscopic processing and ...