  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.
