AI improves accuracy in tracking protein motion at the nanoscale (IMAGE)

Tokyo University of Science

AI improves accuracy in tracking protein motion at the nanoscale

Caption

DeepAFM is a deep learning-based method that analyzes high-speed atomic force microscopy images of proteins. It removes noise and identifies protein shapes, enabling accurate detection of transitions between closed and wide-open states during protein function.

Credit

Associate Professor Takaharu Mori from Tokyo University of Science, Japan Image source link: https://pubs.acs.org/doi/10.1021/acs.jcim.6c00142

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