a leader in handheld and portable analytical instruments, announces the continued evolution of the FieldSpec, TerraSpec, and LabSpec product lines—flagship spectral analysis tools originally ...

Spectral analysis is one of the most important tools of atmospheric physics. Patterns can be extracted from measurement series with the help of spectral analysis and used as a complement to their ...

Investigation of peak purity failure during HPLC method validation led to discovery of a co-eluting impurity under the main peak. Spectral analysis, including three-dimensional modelling, was used to ...

A project at Rice University has developed a new machine learning (ML) algorithm intended to improve the identification of biomarkers in optical spectra. As reported in ACS Nano, the algorithm could ...

With the introduction of the first commercial spectral cytometer in 2013, spectral flow cytometry has been a technology trend in the cell analysis market. Flow cytometry measures cells through ...

Analytical and experimental background for the fundamental understanding of time and frequency domain signals, required for digital signal processing, vibration, and acoustic signal analysis.

Spectral AI has completed the data analysis for its pivotal Burn Study, in the US, designed for the validation of its DeepView System's artificial intelligence (AI)-powered algorithm for burn ...