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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editor: Gregory W. Faris
  • Vol. 3, Iss. 11 — Oct. 22, 2008

Estimating weak ratiometric signals in imaging data. II. Meta-analysis with multiple, dual-channel datasets

Andrew Sornborger, Josef Broder, Anirban Majumder, Ganesh Srinivasamoorthy, Erika Porter, Sean S. Reagin, Charles Keith, and James D. Lauderdale  »View Author Affiliations


JOSA A, Vol. 25, Issue 9, pp. 2185-2194 (2008)
http://dx.doi.org/10.1364/JOSAA.25.002185


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Abstract

Ratiometric fluorescent indicators are used for making quantitative measurements of a variety of physiological variables. Their utility is often limited by noise. This is the second in a series of papers describing statistical methods for denoising ratiometric data with the aim of obtaining improved quantitative estimates of variables of interest. Here, we outline a statistical optimization method that is designed for the analysis of ratiometric imaging data in which multiple measurements have been taken of systems responding to the same stimulation protocol. This method takes advantage of correlated information across multiple datasets for objectively detecting and estimating ratiometric signals. We demonstrate our method by showing results of its application on multiple, ratiometric calcium imaging experiments.

© 2008 Optical Society of America

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.5010) Image processing : Pattern recognition
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.6280) Medical optics and biotechnology : Spectroscopy, fluorescence and luminescence

ToC Category:
Medical Optics and Biotechnology

History
Original Manuscript: April 25, 2008
Manuscript Accepted: June 30, 2008
Published: August 6, 2008

Virtual Issues
Vol. 3, Iss. 11 Virtual Journal for Biomedical Optics

Citation
Andrew Sornborger, Josef Broder, Anirban Majumder, Ganesh Srinivasamoorthy, Erika Porter, Sean S. Reagin, Charles Keith, and James D. Lauderdale, "Estimating weak ratiometric signals in imaging data. II. Meta-analysis with multiple, dual-channel datasets," J. Opt. Soc. Am. A 25, 2185-2194 (2008)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-25-9-2185


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References

  1. J. Broder, A. Majumder, E. Porter, G. Srinivasmoorthy, C. Keith, J. Lauderdale, and A. Sornborger, “Estimating weak ratiometric signals in imaging data. I. Dual-channel data,” J. Opt. Soc. Am. A 24, 2921-2931 (2007). [CrossRef]
  2. H. Hotelling, “Relations between two sets of variates,” Biometrika 32, 38-45 (1936).
  3. J. D. Carroll, “Generalization of canonical correlation analysis to three or more sets of variables,” Proceedings of 76th Annual Convention of American Psychological Association (APA, 1968), pp. 227-228.
  4. J. Hanks, “Hanks' balanced salt solution and pH control,” Tissue Culture Association Manual 3, 3-5 (1976).
  5. K. Truong, A. Sawano, A. Mizuno, H. Hama, K. Tong, T. Mal, A. Miyawaki, and M. Ikura, “FRET-based in vivoCa2+ imaging by a new calmodulin-GFP fusion molecule,” Nat. Struct. Biol. 8, 1069-1073 (2001). [CrossRef] [PubMed]
  6. T. Anderson, An Introduction to Multivariate Statistical Analysis (Wiley, 1984).

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