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The code has been tested in the following setup Linux (Ubuntu 20.04.04/Fedora 34) Python 3.7 PyTorch 1.10.2 CUDA 11.3 We recommend running the code in a Conda environment: after cloning the repo, run ...
This repository provides the implementation and resources for SSAI-3D (Nature Communications 2025), a deep learning framework for achieving high-fidelity isotropic 3D resolution recovery in microscopy ...
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