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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 20, Iss. 16 — Jul. 30, 2012
  • pp: 17281–17296

Compressive fluorescence microscopy using saliency-guided sparse reconstruction ensemble fusion

Shimon Schwartz, Alexander Wong, and David A. Clausi  »View Author Affiliations

Optics Express, Vol. 20, Issue 16, pp. 17281-17296 (2012)

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Compressive fluorescence microscopy has been proposed as a promising approach for fast acquisitions at sub-Nyquist sampling rates. Given that signal-to-noise ratio (SNR) is very important in the design of fluorescence microscopy systems, a new saliency-guided sparse reconstruction ensemble fusion system has been proposed for improving SNR in compressive fluorescence microscopy. This system produces an ensemble of sparse reconstructions using adaptively optimized probability density functions derived based on underlying saliency rather than the common uniform random sampling approach. The ensemble of sparse reconstructions are then fused together via ensemble expectation merging. Experimental results using real fluorescence microscopy data sets show that significantly improved SNR can be achieved when compared to existing compressive fluorescence microscopy approaches, with SNR increases of 16-9 dB within the noise range of 1.5%–10% standard deviation at the same compression rate.

© 2012 OSA

OCIS Codes
(100.2000) Image processing : Digital image processing
(180.2520) Microscopy : Fluorescence microscopy
(100.3008) Image processing : Image recognition, algorithms and filters

ToC Category:

Original Manuscript: March 29, 2012
Revised Manuscript: June 19, 2012
Manuscript Accepted: July 3, 2012
Published: July 16, 2012

Virtual Issues
Vol. 7, Iss. 9 Virtual Journal for Biomedical Optics

Shimon Schwartz, Alexander Wong, and David A. Clausi, "Compressive fluorescence microscopy using saliency-guided sparse reconstruction ensemble fusion," Opt. Express 20, 17281-17296 (2012)

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