首页|Military Institute of Medicine Reports Findings in Mesenchymal Stem Cells (Adipo se-Derived Mesenchymal Stem Cells' adipogenesis chemistry analyzed by FTIR and R aman metrics)
Military Institute of Medicine Reports Findings in Mesenchymal Stem Cells (Adipo se-Derived Mesenchymal Stem Cells' adipogenesis chemistry analyzed by FTIR and R aman metrics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Stem Cell Research-M esenchymal Stem Cells is the subject of a report. According to news reporting ou t of Warszawa, Poland, by NewsRx editors, research stated, "The full understandi ng of molecular mechanisms of cell differentiation requires a holistic view. Her e we combine label-free FTIR and Raman hyperspectral imaging with data mining to detect the molecular cell composition enabling noninvasive monitoring of cell d ifferentiation and identifying biochemical heterogeneity." Our news journalists obtained a quote from the research from the Military Instit ute of Medicine, "Mouse adipose-derived mesenchymal stem cells (AD-MSCs) undergo ing adipogenesis were followed by Raman and FT-IR imaging, Oil Red, and immunofl uorescence. A workflow of the data analysis (IRRSmetrics4stem) was designed to i dentify spectral predictors of adipogenesis and test machine-learning (ML) metho ds (hierarchical clustering, PCA, PLSR) for the control of the AD-MSCs different iation degree. IRRSmetrics4stem provided insights into the chemism of adipogenes is. With single-cell tracking, we established IRRS metrics for lipids, proteins, and DNA variations during AD-MSCs differentiation. The over 90% p redictive efficiency of the selected ML methods proved the high sensitivity of t he IRRS metrics. Importantly, the IRRS metrics unequivocally recognize a switch from proliferation to differentiation."
WarszawaPolandEuropeAdipogenesisCell DifferentiationChemistryCyborgsEmerging TechnologiesHealth and Medi cineMachine LearningMesenchymal Stem CellsStem Cell Research
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