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Gold digger: Neural networks at the nexus of data science and electron microscopy


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IMAGE: (a) A Cropped FRIL image used for input (b) Ground truth image annotated by human experts (c) Network-generated image with annotations d. Discriminator network to discern between real and fake images..
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Credit: Max Planck Florida Institute for Neuroscience
From sample preparation to image acquisition, electron microscopy (EM) requires precise and time-consuming steps to produce the clarity and detail needed to visualize small cell structures with high resolution. Moreover, once EM images are created, extracting the biological information out of them through analysis can be an even more laborious and time intensive task. Especially because current EM analysis software often requires the skilled eye of a scientist to manually review hundreds of images. ....

Naomi Kamasawa , Eleanor Stuart , Diego Jerez , Michael Smirnov , Christie Lab , Max Planck Florida Institute For Neuroscience , Max Planck Society , Max Planck Florida Institute , Electron Microscopy Core Facility , Scientific Reports , Neural Data Scientist , Gold Digger , எலினோர் ஸ்டூவர்ட் , எதிர் மின்னணு நுண்ணோக்கி கோர் வசதி , அறிவியல் அறிக்கைகள் , தங்கம் வெட்டி எடுப்பவர் ,