InterpolAI: deep learning-based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping
Abstract Recent advances in imaging and computation have enabled analysis of large three-dimensional (3D) biological datasets, revealing spatial composition, morphology, cellular interactions and rare events. However, the accuracy of these analyses is limited by image quality, which can be compromised by missing data, tissue damage or low resolution due to mechanical, temporal or financial constraints. […]