Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes.
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DOI: 10.1038/s41592-021-01155-x
Abstract: We demonstrate residual channel attention networks (RCAN) for the restoration and enhancement of volumetric time-lapse (four-dimensional) fluorescence microscopy data. First we modify RCAN to handle image volumes, showing that our network enables denoising competitive with… read more here.
Keywords: resolution; image; microscopy; attention networks ... See more keywords