SenseAI: Real-Time Inpainting for Electron Microscopy

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

SenseAI: Real-Time Inpainting for Electron Microscopy

Signal Processing 2023-11-28 v1

Authors: 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.

Keywords

electron microscopy inpainting dictionary learning sparse coding real-time reconstruction cuda library

Cite

@article{arxiv.2311.15061,
  title  = {SenseAI: Real-Time Inpainting for Electron Microscopy},
  author = {Jack Wells and Amirafshar Moshtaghpour and Daniel Nicholls and Alex W. Robinson and Yalin Zheng and Jony Castagna and Nigel D. Browning},
  journal= {arXiv preprint arXiv:2311.15061},
  year   = {2023}
}

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Presented in ISCS23

SenseAI: Real-Time Inpainting for Electron Microscopy

Abstract

Keywords

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