2005
DOI: 10.1016/j.jneumeth.2005.01.012
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An automated method to quantify and visualize colocalized fluorescent signals

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Cited by 142 publications
(139 citation statements)
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“…Similar experiments were performed in N2a cells after control or synj1 siRNA transfection, followed by incubation with Alexa-A␤ 555 or Alexa-A␤ 488 . Fluorescent colocalization analysis was quantified using the Zen program to calculate colocalized pixels (subtracted by background) and colocalization coefficiency as previously described (30,31). The data are presented as percentages of control Ϯ S.E.…”
Section: Methodsmentioning
confidence: 99%
“…Similar experiments were performed in N2a cells after control or synj1 siRNA transfection, followed by incubation with Alexa-A␤ 555 or Alexa-A␤ 488 . Fluorescent colocalization analysis was quantified using the Zen program to calculate colocalized pixels (subtracted by background) and colocalization coefficiency as previously described (30,31). The data are presented as percentages of control Ϯ S.E.…”
Section: Methodsmentioning
confidence: 99%
“…This software is based on a previously published algorithm (12). The correlation of a pair of pixels was calculated by the normalized mean deviation product (nMDP) as follows,…”
Section: Methodsmentioning
confidence: 99%
“…For co-localization analysis, all image data were preprocessed prior to quantification by means of an iterative constrained Tikhonov-Miller algorithm (DeconvolutionLab ImageJ plugin (24)) to reduce the blurring from nearby bright objects and the out-of-focus noise. Co-localization was evaluated using the Colocalization Colormap script, an ImageJ plugin for automated quantification and visualization of co-localized fluorescent signals (25). The method computes correlation of intensities between pairs of individual pixels in two different channels.…”
Section: Methodsmentioning
confidence: 99%