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Enhancing multi-spot structured illumination microscopy with fluorescence difference.

Edward N WardFrida H TorkelsenRobert Pal
Published in: Royal Society open science (2018)
Structured illumination microscopy is a super-resolution technique used extensively in biological research. However, this technique is limited in the maximum possible resolution increase. Here we report the results of simulations of a novel enhanced multi-spot structured illumination technique. This method combines the super-resolution technique of difference microscopy with structured illumination deconvolution. Initial results give at minimum a 1.4-fold increase in resolution over conventional structured illumination in a low-noise environment. This new technique also has the potential to be expanded to further enhance axial resolution with three-dimensional difference microscopy. The requirement for precise pattern determination in this technique also led to the development of a new pattern estimation algorithm which proved more efficient and reliable than other methods tested.
Keyphrases
  • single molecule
  • high resolution
  • high speed
  • high throughput
  • optical coherence tomography
  • label free
  • machine learning
  • mass spectrometry
  • deep learning
  • neural network
  • molecularly imprinted
  • simultaneous determination