A weakly supervised machine learning model to extract features from microscopy images
Credit: Bilodeau et al. Deep learning models have proved to be highly promising tools for analyzing large numbers of images. ...
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Neural networks at the nexus of data science and electron microscopy
(a) A Cropped FRIL image used for input (b) Ground truth image annotated by human experts (c) Network-generated image with ...
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3D fluorescence microscopy gets a boost using recurrent neural networks
Recurrent neural network-based 3D fluorescence image reconstruction framework. Credit: Ozcan Lab, UCLA Rapid 3D microscopic imaging of fluorescent samples has ...
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