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We demonstrate a new convolutional neural network architecture to perform Fourier ptychographic Microscopy (FPM) reconstruction, which achieves high-resolution phase recovery with considerably less data than standard FPM. Click to show full abstract
We demonstrate a new convolutional neural network architecture to perform Fourier ptychographic Microscopy (FPM) reconstruction, which achieves high-resolution phase recovery with considerably less data than standard FPM.
Keywords:
fourier ptychographic;
approach high;
learning approach;
ptychographic microscopy;
microscopy;
deep learning
Journal Title: Journal of Thrombosis and Haemostasis
Year Published: 2018
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Journal Title: Journal of Thrombosis and Haemostasis
Year Published: 2018
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!