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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 20, Iss. 1 — Jan. 2, 2012
  • pp: 403–413

Optics InfoBase > Optics Express > Volume 20 > Issue 1 > Page 403

Quantitative sectioning and noise analysis for structured illumination microscopy

Nathan Hagen, Liang Gao, and Tomasz S. Tkaczyk  »View Author Affiliations


Optics Express, Vol. 20, Issue 1, pp. 403-413 (2012)
http://dx.doi.org/10.1364/OE.20.000403


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Abstract

Structured illumination (SI) has long been regarded as a nonquantitative technique for obtaining sectioned microscopic images. Its lack of quantitative results has restricted the use of SI sectioning to qualitative imaging experiments, and has also limited researchers’ ability to compare SI against competing sectioning methods such as confocal microscopy. We show how to modify the standard SI sectioning algorithm to make the technique quantitative, and provide formulas for calculating the noise in the sectioned images. The results indicate that, for an illumination source providing the same spatially-integrated photon flux at the object plane, and for the same effective slice thicknesses, SI sectioning can provide higher SNR images than confocal microscopy for an equivalent setup when the modulation contrast exceeds about 0.09.

© 2011 OSA

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.6640) Image processing : Superresolution
(110.4280) Imaging systems : Noise in imaging systems
(180.0180) Microscopy : Microscopy
(180.6900) Microscopy : Three-dimensional microscopy

ToC Category:
Microscopy

History
Original Manuscript: September 20, 2011
Revised Manuscript: December 9, 2011
Manuscript Accepted: December 13, 2011
Published: December 21, 2011

Virtual Issues
Vol. 7, Iss. 3 Virtual Journal for Biomedical Optics

Citation
Nathan Hagen, Liang Gao, and Tomasz S. Tkaczyk, "Quantitative sectioning and noise analysis for structured illumination microscopy," Opt. Express 20, 403-413 (2012)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-20-1-403


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