Estimating weak ratiometric signals in imaging data. I. Dual-channel data
JOSA A, Vol. 24, Issue 9, pp. 2921-2931 (2007)
http://dx.doi.org/10.1364/JOSAA.24.002921
Enhanced HTML 
Acrobat PDF (967 KB)
Abstract
Ratiometric fluorescent indicators are becoming increasingly prevalent in many areas of biology. They are used for making quantitative measurements of intracellular free calcium both in vitro and in vivo, as well as measuring membrane potentials, pH, and other important physiological variables of interest to researchers in many subfields. Often, functional changes in the fluorescent yield of ratiometric indicators are small, and the signal-to-noise ratio (SNR) is of order unity or less. In particular, variability in the denominator of the ratio can lead to very poor ratio estimates. We present a statistical optimization method for objectively detecting and estimating ratiometric signals in dual-wavelength measurements of fluorescent, ratiometric indicators that improves on standard methods. With the use of an appropriate statistical model for ratiometric signals and by taking the pixel–pixel covariance of an imaging dataset into account, we are able to extract user-independent spatiotemporal information that retains high resolution in both space and time.
© 2007 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: November 7, 2006
Revised Manuscript: May 4, 2007
Manuscript Accepted: May 10, 2007
Published: August 23, 2007
Virtual Issues
Vol. 2, Iss. 10 Virtual Journal for Biomedical Optics
Citation
Josef Broder, Anirban Majumder, Erika Porter, Ganesh Srinivasamoorthy, Charles Keith, James Lauderdale, and Andrew Sornborger, "Estimating weak ratiometric signals in imaging data. I. Dual-channel data," J. Opt. Soc. Am. A 24, 2921-2931 (2007)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-24-9-2921
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
Related Journal Articles 
- Prediction of human observer performance by numerical observers: an experimental study (JOSAA)
- Developments in generalized ranked-order filters (JOSAA)
- Object recognition based on impulse restoration with use of the expectation-maximization algorithm (JOSAA)
- Diffraction tomographic imaging with photon density waves: an explicit solution (JOSAA)
- Estimating weak ratiometric signals in imaging data. II. Meta-analysis with multiple, dual-channel datasets (JOSAA)
Related Conference Papers
- A Statistical Approach for Detection and Localization of a Fluorescing Mouse Tumor in Intralipid
- In-vitro studies of nanoparticle-virus complexes
- Mutual information as a performance measure for fluorescence optical diffusion tomography
- Imaging from time-resolved fluorescence in turbid media
- Kinetic fluorescence optical diffusion tomography
« Previous Article | Next Article »
OSA is a member of 