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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 22, Iss. 7 — Apr. 7, 2014
  • pp: 8687–8702

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, and Stephen Lane  »View Author Affiliations

Optics Express, Vol. 22, Issue 7, pp. 8687-8702 (2014)

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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 pre-filtering 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.

© 2014 Optical Society of America

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(110.0180) Imaging systems : Microscopy
(180.2520) Microscopy : Fluorescence microscopy
(180.6900) Microscopy : Three-dimensional microscopy
(110.4155) Imaging systems : Multiframe image processing

ToC Category:

Original Manuscript: February 18, 2014
Revised Manuscript: March 20, 2014
Manuscript Accepted: March 23, 2014
Published: April 3, 2014

Virtual Issues
Vol. 9, Iss. 6 Virtual Journal for Biomedical Optics

Kaiqin Chu, Paul J. McMillan, Zachary J. Smith, Jie Yin, Jeniffer Atkins, Paul Goodwin, Sebastian Wachsmann-Hogiu, and Stephen Lane, "Image reconstruction for structured-illumination microscopy with low signal level," Opt. Express 22, 8687-8702 (2014)

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