Steady-state cross-correlations for live two-colour super-resolution localization data sets.

Steady-state cross-correlations for live two-colour super-resolution localization data sets.
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DOI:
10.1038/ncomms8347
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发表时间:
2015-06-12
影响因子:
16.6
通讯作者:
Veatch SL
Veatch SL
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Stone MB;Veatch SL

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Cross-correlation of super-resolution images gathered from point localizations allows for robust quantification of protein co-distributions in chemically fixed cells. Here this is extended to dynamic systems through an analysis that quantifies the steady-state cross-correlation between spectrally distinguishable probes. This methodology is used to quantify the co-distribution of several mobile membrane proteins in both vesicles and live cells, including Lyn kinase and the B-cell receptor during antigen stimulation. Quantitative live cell super-resolution microscopy is currently limited by the time it takes to acquire a well sampled image. Here Stone and Veatch develop a cross-correlation analysis that does not rely on image reconstruction and apply this method to quantify the co-distribution of Lyn kinase and the B-cell receptor during antigen stimulation.
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