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Found 2 papers, 1 papers with code
Virtual organelle self-coding for fluorescence imaging via adversarial learning
A detailed comparative analysis is also conducted on the performance of the cGAN network between predicting fluorescence channels based on phase contrast or based on another fluorescence channel using human breast cancer MDA-MB-231 cell line as a test case.
Deep learning approach to Fourier ptychographic microscopy
Specifically, we show that it is possible to reconstruct high-SBP dynamic cell videos by a CNN trained only on the first FPM dataset captured at the beginning of a time-series experiment.
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