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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 ,