The method significantly improves restoration accuracy and large-size image inference efficiency. The work, titled "Pushing the limits of fluorescence imaging with a restoration neural network ...
Peking University, June 9, 2026: Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration ...
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