Image reconstruction for structured-illumination microscopy with low signal level

Kaiqin Chu, Paul J. McMillan, Zachary J. Smith, Jie Yin, Jeniffer Atkins, Paul Goodwin, Sebastian Wachsmann-Hogiu, Stephen Lane

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

We report a new image processing technique for the structured illumination microscopy designed to work with low signals, with the goal of reducing photobleaching and phototoxicity of the sample. Using a prefiltering process to estimate experimental parameters and total variation as a constraint to reconstruct, we obtain two orders of magnitude of exposure reduction while maintaining the resolution improvement and image quality compared to a standard structured illumination microscopy. The algorithm is validated on both fixed and live cell data with results confirming that we can image more than 15x more time points compared to the standard technique.

Original languageEnglish (US)
Pages (from-to)8687-8702
Number of pages16
JournalOptics Express
Volume22
Issue number7
DOIs
StatePublished - 2014

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Chu, K., McMillan, P. J., Smith, Z. J., Yin, J., Atkins, J., Goodwin, P., Wachsmann-Hogiu, S., & Lane, S. (2014). Image reconstruction for structured-illumination microscopy with low signal level. Optics Express, 22(7), 8687-8702. https://doi.org/10.1364/OE.22.008687