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Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.
Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.
Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.