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arXiv · 2311.15061

SenseAI: Real-Time Inpainting for Electron Microscopy

Jack Wells·Amirafshar Moshtaghpour·Daniel Nicholls·Alex W. Robinson·Yalin Zheng·Jony Castagna·Nigel D. Browning
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Abstract

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

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Jack Wells, Amirafshar Moshtaghpour, Daniel Nicholls, Alex W. Robinson, Yalin Zheng, Jony Castagna, Nigel D. Browning. 2023-11-25. SenseAI: Real-Time Inpainting for Electron Microscopy. https://arxiv.org/abs/2311.15061

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