Automatic 2d material detection in optical images using deep learning based computer vision

HIGHLIGHTS

• who: Sheikh Parvez et al. from the Montana State University Department of Physics, Montana State University, Bozeman, USA have published the article: Automatic 2D Material Detection in Optical Images using Deep Learning Based Computer Vision, in the Journal: (JOURNAL)
• what: The authors have implemented a new deep learning pipeline to classify crystallites of 2D materials based on coarse thickness classifications in reflected-light optical micrographs. The authors propose a new detection pipeline which not only makes improvements in detection accuracy, but also is able to detect the rare class of thin flakes ( and amp;lt . . .
  

   

  

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