UC Davis Health, in partnership with SpectraPass, is evaluating a new type of rapid COVID-19 test. The research will involve about 2,000 people in Sacramento and Las Vegas. The idea behind the new ...

Mass spectrometry is a powerful technique that allows scientists to break down and identify the building blocks of just about anything by measuring the mass of the tiny particles of which something is ...

Mass spectrometry is the new genomics, and Tucson is the place to be for the emerging market. At least that’s what Nina Ossanna, vice president and co-founder of Pharos Diagnostics, thinks. Ossanna is ...

Mass spectrometry, known for its high sensitivity, selectivity, rich structural information, and rapid analysis capabilities, is widely used in disease diagnosis and bioanalysis. Despite progress in ...

Researchers 3D printed a mini quadrupole mass filter, a key component of a mass spectrometer, that performs as well as some commercial-grade devices. It can be fabricated in hours for a few dollars ...

Here we provide a curated, large scale, label free mass spectrometry-based proteomics data set derived from HeLa cell lines for general purpose machine learning and analysis. Data access and filtering ...

Perhaps no tool has been as instrumental to the proteomics revolution as the mass spectrometer. With the ability to deconvolute highly complex mixtures over a wide range of abundance levels, these ...

Day 1 of the annual meeting of the American Society for Mass Spectrometry (ASMS; NM, USA) has been jam-packed with press conferences from the biggest names in mass spectrometry, and I have been to ...

Accurately distinguishing renal cell carcinoma (RCC) from normal kidney tissue is critical for identifying positive surgical margins (PSMs) during partial and radical nephrectomy, which remains the ...

Equipment for gas chromatography, liquid chromatography and mass spectrometry is complex, with multiple subsystems that control the flow of sample analyte, carrier gas and solvent fluids. The ...

In a recent study posted to the Preprints with The Lancet SSRN* server, a team of researchers in China developed a machine learning-based diagnostic tool to detect tuberculosis and drug-resistant ...