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Despite their proven success and broad applicability to Electron Microscopy(EM) data, joint dictionary-learning and sparse-coding based inpaintingalgorithms have so far remained impractical for real-time usage with anElectron Microscope. For many EM applications, the reconstruction time for asingle frame is orders of magnitude longer than the data acquisition time,making it impossible to perform exclusively subsampled acquisition. Thislimitation has led to the development of SenseAI, a C++/CUDA library capable ofextremely efficient dictionary-based inpainting. SenseAI provides N-dimensionaldictionary learning, live reconstructions, dictionary transfer andvisualization, as well as real-time plotting of statistics, parameters, andimage quality metrics.

SenseAI: Real-Time Inpainting for Electron Microscopy