edible plants are rich in bioactive compounds and promote health benefits. However, there is less interest in expanding knowledge about the cultivars to date. In particular, underutilized species and local cultivars could constitute a source of agrodiversity in adapting to the territory with likely higher contents of nutraceutical compounds.
View Article and Find Full Text PDFThree-dimensional imaging of live processes at a cellular level is a challenging task. It requires high-speed acquisition capabilities, low phototoxicity, and low mechanical disturbances. Three-dimensional imaging in microfluidic devices poses additional challenges as a deep penetration of the light source is required, along with a stationary setting, so the flows are not perturbed.
View Article and Find Full Text PDFBackground Portable, low-field-strength (0.064-T) MRI has the potential to transform neuroimaging but is limited by low spatial resolution and low signal-to-noise ratio. Purpose To implement a machine learning super-resolution algorithm that synthesizes higher spatial resolution images (1-mm isotropic) from lower resolution T1-weighted and T2-weighted portable brain MRI scans, making them amenable to automated quantitative morphometry.
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