Structured illumination imaging with quasi-periodic patterns

Dongli Xu, Jun Ding, Leilei Peng

Research output: Contribution to journalArticlepeer-review


Structured illumination microscopy (SIM) is a well-established method for optical sectioning and super-resolution. The core of structured illumination is using a periodic pattern to excite image signals. This work reports a method for estimating minor pattern distortions from the raw image data and correcting these distortions during SIM image processing. The method was tested with both simulated and experimental image data from two-photon Bessel light-sheet SIM. The results proves the method is effective in challenging situations, where strong scattering background exists, signal-to-noise ratio (SNR) is low and the sample structure is sparse. Experimental results demonstrate restoring synaptic structures in deep brain tissue, despite the presence of strong light scattering and tissue-induced SIM pattern distortion.

Original languageEnglish (US)
Article numbere201960209
JournalJournal of Biophotonics
Issue number6
StatePublished - Jun 1 2020


  • fluorescence microscopy
  • light-sheet microscopy
  • structured illumination
  • tissue imaging

ASJC Scopus subject areas

  • Chemistry(all)
  • Materials Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Engineering(all)
  • Physics and Astronomy(all)


Dive into the research topics of 'Structured illumination imaging with quasi-periodic patterns'. Together they form a unique fingerprint.

Cite this