Every collected photon is precious in live-cell super-resolution (SR) microscopy. Here, we describe a data-efficient, deep learning-based denoising solution to improve diverse SR imaging modalities.
In recent years, computational pathology has undergone an unprecedented development process due to novel trends in digital imaging technologies and deep learning mechanisms 1. The analysis of ...
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