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MusiJ: an ImageJ plugin for video nanoscopy.

Sebastian AcuñaFlorian StröhlIda S OpstadBalpreet Singh AhluwaliaKrishna Agarwal
Published in: Biomedical optics express (2020)
We present an open-source implementation of the fluctuation-based nanoscopy method MUSICAL for ImageJ. This implementation improves the algorithm's computational efficiency and takes advantage of multi-threading to provide orders of magnitude faster reconstructions than the original MATLAB implementation. In addition, the plugin is capable of generating super-resolution videos from large stacks of time-lapse images via an interleaved reconstruction, thus enabling easy-to-use multi-color super-resolution imaging of dynamic systems.
Keyphrases
  • primary care
  • healthcare
  • quality improvement
  • deep learning
  • high resolution
  • machine learning
  • convolutional neural network
  • optical coherence tomography
  • mass spectrometry
  • photodynamic therapy
  • contrast enhanced