A machine-learning (ML) based framework can help to unveil the nanofiber orientation in hierarchically structured biological materials with the advantages of fast speed and automation. It promises to meet the… Click to show full abstract
A machine-learning (ML) based framework can help to unveil the nanofiber orientation in hierarchically structured biological materials with the advantages of fast speed and automation. It promises to meet the analysis demand of extensive amounts of related data online and in real time in near-future next-generation synchrotrons.
               
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