Episode 19 of our #FlashTalk series is now available on YouTube! In this episode, Dr. Katayun Barmak from Columbia University shares her recently published work on automation of grain boundary detection using machine learning.


Here, you can learn about the U-Net convolutional neural network that was trained on bright field datasets of polycrystalline materials. Bright field images were acquired with the Protochips #FusionAX heating and biasing holder.

Click here to read the full publication:

Flash Talk Katia

#Protochips #InSituTEM #FindYourBreakthrough

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