AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...
Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.
A research team led by Prof. Fang Yonghua from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences ...
Enhancing protein identification accuracy is vital for proteomics; this article explores key technologies and statistical methods involved.
A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2026.250149, discusses a quarter-wave geometric-phase ...
Elemental analysis techniques are essential in mining, influencing key decisions and ensuring adherence to quality standards throughout the value chain.
Environmental pollutant analysis typically requires complex sample pretreatment steps such as filtration, separation, and ...
Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
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