SpectrAI — Open-Source AI for Spectroscopy
SpectrAI is a open-source framework bringing state-of-the-art AI to spectroscopy and spectral imaging from denoising to hyperspectral segmentation. Spectroscopy
MIT researchers have developed a physics-informed generative AI tool that can predict a material's spectrum across different spectroscopy techniques – without requiring direct measurement. The ...
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SpectrAI is a open-source framework bringing state-of-the-art AI to spectroscopy and spectral imaging from denoising to hyperspectral segmentation. Spectroscopy
Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning
MIT researchers have developed a physics-informed generative AI tool that can predict a material''s spectrum across different spectroscopy techniques – without requiring direct measurement.
Our dual AOM spectrometer uses a pump–probe beam geometry so that the emitted signal field is automatically heterodyned, which makes alignment straightforward and robust.
Here, the authors show that the resolution and speed limitations in broadband photo-acoustic spectroscopy can be overcome by combining dual-comb spectroscopy with photo-acoustic
To this end, this chapter demonstrates a combined “dual” absorption and fluorescence spectrometer, using a low-cost nano-imprinted dispersive element. Absorption measurements are
Detection of airborne chemical releases in densely populated urban environments requires precise sensors with high temporal and spatial resolution
The rapid advent of machine learning (ML) and artificial intelligence (AI) has catalyzed major transformations in chemistry, yet the application of these methods to spectroscopic and
Generative AI with spectroscopy is an innovative approach that combines artificial intelligence techniques with spectroscopic analysis, enabling researchers to extract valuable insights
Concentration Analysis of Ultra-microvolume Samples by UV-Vis Spectroscopy Fast Determination of Thermal Melt Temperature of Double-Stranded Nucleic Acids Browse the complete library of UV-Vis
Artificial intelligence (AI) enables real-time data reduction and imaging of gas concentration based on characteristic molecular absorption signatures. Owing to the detector array''s
AI methods for molecular identification and elucidation from mass spectra. Searching molecular structure databases using tandem MS data: are we there yet? This gets you all spectra but without peaks. 2.
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A newly developed silicon spectrometer‑on‑a‑chip achieves accurate, noise‑resilient hyperspectral sensing across an extended near‑infrared range
Raman spectrometry has proven to be by far the most powerful noninvasive analytical technique for direct material identification. In this paper we introduce the first smart Raman device
A single junction of two-dimensional van der Waal materials provides the basis for ultraminiaturized spectrometers.
This is the first demonstration of dual comb absorption spectroscopy (DCS) measurements of air mass flux, and the first demonstration of DCS in a hypersonic aeropropulsion environment. Our results
An Inside Look at the Implementation of Artificial Intelligence in Surface-Enhanced Raman Spectroscopy Applications This article discusses a
Dual-comb spectroscopy (DCS) enables high-resolution measurements at high speeds without the trade-off between resolution and update rate inherent to mechanical delay scanning.
Researchers from Chinese universities have developed an AI-powered platform that combines near-infrared (NIR) and Raman spectroscopy for
This study demonstrated ultra-highly sensitive dual gases detection based on photoacoustic spectroscopy by exploiting a long-wave, high-power, wide-tuning, single-longitudinal
AI-powered spectroscopy using compact spectrometers is the subject of this blog article. Compact spectrometers have already made spectroscopy portable and affordable; layering on
Here, we report a plasmonic "rainbow" chip for dual-functional spectroscopic sensing. By analyzing a single image with deep neural network, this image-based sys.
In general, we have developed a dual-comb spectrometer integrated with a neural network-based spectral decoupling algorithm for the simultaneous detection of a methane and water
Efforts to understand and mediate threats to water supplies rely on collection of reliable data at large scale, a goal which is often limited by availability of tools that are both affordable and
In this survey, we provide a unified review of SpectraML, systematically examining state-of-the-art approaches for both forward tasks (molecule-to-spectrum prediction) and inverse tasks (spectrum-to
Article Open access Published: 01 August 2023 Gas phase multicomponent detection and analysis combining broadband dual-frequency comb absorption spectroscopy and deep learning
Benchtop dual alpha spectrometer with two alpha spectroscopy channels. Each unit includes a vacuum gauge, variable detector bias supply (switchable positive or
A sample library of selected references discussing the application of artificial intelligence (AI) in analytical chemistry and molecular spectroscopy is