Deep learning-based noise filtering toward millisecond order imaging by using scanning transmission electron microscopy

HIGHLIGHTS

• who: Shiro Ihara from the InstitutKyushu University have published the research work: Deep learning-based noise filtering toward millisecond order imaging by using scanning transmission electron microscopy, in the Journal: Scientific Reports Scientific Reports of 23/03/2022
• what: In this study, the noise filter was made by training either 50 frames u00d7 50 FOVs sets of the rapid scan images or the corresponding view of the slow scan images. In the following, the authors examine whether the artifacts can be removed by training with multiple frames taken from only a single FOV or not . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.