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

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dc.contributor.author Sornborger, A en
dc.contributor.author Broder, J en
dc.contributor.author Majumder, A en
dc.contributor.author Srinivasamoorthy, G en
dc.contributor.author Porter, E en
dc.contributor.author Reagin, SS en
dc.contributor.author Keith, C en
dc.contributor.author Lauderdale, JD en
dc.date.accessioned 2014-06-06T06:48:07Z
dc.date.available 2014-06-06T06:48:07Z
dc.date.issued 2008 en
dc.identifier.issn 10847529 en
dc.identifier.uri http://dx.doi.org/10.1364/JOSAA.25.002185 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/3971
dc.subject.other Calcium imaging en
dc.subject.other Data sets en
dc.subject.other Denoising en
dc.subject.other Imaging datums en
dc.subject.other Information across en
dc.subject.other Multiple datasets en
dc.subject.other Multiple measurements en
dc.subject.other Physiological variables en
dc.subject.other Quantitative estimates en
dc.subject.other Quantitative measurements en
dc.subject.other Ratiometric en
dc.subject.other Ratiometric imaging en
dc.subject.other Statistical optimizations en
dc.subject.other Stimulation protocols en
dc.subject.other Calcium en
dc.subject.other Statistical methods en
dc.subject.other calcium en
dc.subject.other fluorescent dye en
dc.subject.other algorithm en
dc.subject.other animal en
dc.subject.other article en
dc.subject.other cell strain en
dc.subject.other computer assisted diagnosis en
dc.subject.other computer simulation en
dc.subject.other confocal microscopy en
dc.subject.other metabolism en
dc.subject.other methodology en
dc.subject.other normal distribution en
dc.subject.other optics en
dc.subject.other rat en
dc.subject.other signal processing en
dc.subject.other statistical model en
dc.subject.other Algorithms en
dc.subject.other Animals en
dc.subject.other Calcium en
dc.subject.other Computer Simulation en
dc.subject.other Fluorescent Dyes en
dc.subject.other Image Interpretation, Computer-Assisted en
dc.subject.other Microscopy, Confocal en
dc.subject.other Models, Statistical en
dc.subject.other Normal Distribution en
dc.subject.other Optics en
dc.subject.other PC12 Cells en
dc.subject.other Rats en
dc.subject.other Signal Processing, Computer-Assisted en
dc.title Estimating weak ratiometric signals in imaging data. II. Meta-analysis with multiple, dual-channel datasets en
heal.type journalArticle en
heal.identifier.primary 10.1364/JOSAA.25.002185 en
heal.publicationDate 2008 en
heal.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. en
heal.journalName Journal of the Optical Society of America A: Optics and Image Science, and Vision en
dc.identifier.issue 9 en
dc.identifier.volume 25 en
dc.identifier.doi 10.1364/JOSAA.25.002185 en
dc.identifier.spage 2185 en
dc.identifier.epage 2194 en


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