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Using AFM and Machine Learning to  Classify Bulk Mechanical Properties of Impact CoPolymers

New method could democratize deep learning-enhanced microscopy

Loading video. VIDEO: A low-resolution time-lapse of a mitochondrial network (cell s powerhouse) inside a cancer cell (left) is enhanced using artificial intelligence (right). Inset at bottom left highlights a fission (splitting) event that. view more  Credit: Salk Institute/Waitt Advanced Biophotonics Core LA JOLLA (March 8, 2021) Deep learning is a potential tool for scientists to glean more detail from low-resolution images in microscopy, but it s often difficult to gather enough baseline data to train computers in the process. Now, a new method developed by scientists at the Salk Institute could make the technology more accessible by taking high-resolution images, and artificially degrading them.

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