3D Image Restoration using Implicit Neural Representations for Brightfield and Widefield Fluorescence Microscopy
Published in Computational Optical Sensing and Imaging, 2024
3D stacks captured by conventional brightfield and widefield fluorescence microscopes suffer from inter-plane crosstalk, hindering high-quality 3D imaging. We present a physics-informed self-supervised machine learning method for 3D image stack restoration.
Recommended citation: Xu, Chenyu, et al. "3D Image Restoration using Implicit Neural Representations for Brightfield and Widefield Fluorescence Microscopy." Computational Optical Sensing and Imaging. Optica Publishing Group, 2024.
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