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

This article outlines the use of deep learning technology to measure the impact of copolymers and polymers. ....

Seungyoonb Yu , Kyle Kastner , Emily Robertson , T Nathan Mundhenk , Yoshiyuki Kubota , Mr Brian Gallagher , Alaa Abdel Latif , Rz Ruoqian Lin , Jeremy Howard , Carar Schiavon , Annam Hiszpanski , Bruker Nano Surfacesmar , Brock Beauchamp , Gulcin Pekkurnaz , Lyndsey Kirk , Zhao Zhang , T Young Jin Han , Sammy Weiser Novak , Fm Linjing Fang , Chunyang Wang , Zijun Lin , Huolinl Xin , T Yong Jin Han , Melissa Wu , Golamg Jaman , Xiao Qing Yang ,

New method could democratize deep learning-enhanced microscopy

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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.
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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. ....

United States , Seungyoonb Yu , Kyle Kastner , Yoshiyuki Kubota , Alaa Abdel Latif , Jeremy Howard , Carar Schiavon , Fred Monroe , Gulcin Pekkurnaz , Zhao Zhang , Sammy Weiser Novak , Lindsey Kirk , Zijun Lin , Linjing Fang , Melissa Wu , Kristen Harris , Andrew Shaw , Waitt Foundation , University Of San Francisco , National Institute Of Health , National Cancer Institute , Chan Zuckerberg Initiative , National Science Foundation , National Institute For Physiological Sciences , National Institute On Deafness , Wicklow Ai Medical Research Initiative ,