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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 28, Iss. 9 — Sep. 1, 2011
  • pp: 1925–1934

Effect of processing strategies on the stochastic transfer function in structured illumination microscopy

Michael G. Somekh, Ken Hsu, and Mark C. Pitter  »View Author Affiliations


JOSA A, Vol. 28, Issue 9, pp. 1925-1934 (2011)
http://dx.doi.org/10.1364/JOSAA.28.001925


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Abstract

The stochastic transfer function (STF) has been introduced in previous publications [J. Opt. Soc. Am. A26, 1622 (2009)]. This encompasses the conventional transfer function as well as a measure of the noise at each spatial frequency. We use the STF as a metric to characterize the noise performance of structured illumination microscopy where the final image is synthesized from several constituent images. In particular, we examine the effect of different processing strategies on the signal to noise at different spatial frequencies. We extend the so-called weighted average approach to account for different grating periods, where the noise in different image contributions is correlated. Finally, we demonstrate by simulation that a superior STF does lead to better imaging of a two-point object.

© 2011 Optical Society of America

OCIS Codes
(100.6640) Image processing : Superresolution
(110.0180) Imaging systems : Microscopy
(110.4280) Imaging systems : Noise in imaging systems
(180.2520) Microscopy : Fluorescence microscopy

ToC Category:
Imaging Systems

History
Original Manuscript: March 2, 2011
Revised Manuscript: July 17, 2011
Manuscript Accepted: July 18, 2011
Published: August 29, 2011

Virtual Issues
Vol. 6, Iss. 10 Virtual Journal for Biomedical Optics

Citation
Michael G. Somekh, Ken Hsu, and Mark C. Pitter, "Effect of processing strategies on the stochastic transfer function in structured illumination microscopy," J. Opt. Soc. Am. A 28, 1925-1934 (2011)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-28-9-1925


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References

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