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IMAGE: Top, hyperspectral visualization with data from a standard 9-hour experiment compared with hyperspectral visualization with data from a proposed 1-hour experiment. view more
Credit: Courtesy the Beckman Institute for Advanced Science and Technology.
A new computational mass spectrometry imaging method enables researchers to achieve high mass resolution and high spatial resolution for biological samples while providing data sets exponentially faster.
Researchers at the Beckman Institute for Advanced Science and Technology developed a subspace mass spectrometry imaging approach that accelerates the speed of data acquisition -- without sacrificing the quality -- by designing a model-based reconstruction strategy.
The technique, which was developed using animal models, could have important implications for many applications, including analytical chemistry and clinical studies, with results available at a fraction of the time. It also can detect a wide range of biomolecules -- from small molecules such as neurotransmitters and amino acids to larger molecules such as lipids or peptides.
United-statesAmericanDaniel-castroJonathanv-sweedlerYuxuan-richard-xieJamesr-eisznerZhi-pei-liangSchool-of-chemical-sciencesBeckman-institute-for-advanced-scienceUniversity-of-illinois-urbana-champaignBeckman-instituteAdvanced-science