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 |