2008
DOI: 10.1529/biophysj.108.131276
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Quantitative FRET Analysis by Fast Acquisition Time Domain FLIM at High Spatial Resolution in Living Cells

Abstract: Quantitative analysis in Förster resonance energy transfer (FRET) experiments in live cells for protein interaction studies is still a challenging issue. In a two-component system (FRET and no FRET donor species), fitting of fluorescence lifetime imaging microscopy (FLIM) data gives the fraction of donor molecules involved in FRET (f(D)) and the intrinsic transfer efficiency. But when fast FLIM acquisitions are used to monitor dynamic changes in protein-protein interactions at high spatial and temporal resolut… Show more

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Cited by 86 publications
(130 citation statements)
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“…Multifocal Multiphoton Fluorescence Lifetime Imaging Microscopy and Data Analysis-The FRET-FLIM system was described previously (27). Briefly, the FRET-FLIM apparatus combines multifocal multiphoton excitation (TriMscope, LaVision Biotec, Bielefeld, Germany) and a fast-gated CCD camera (Picostar, LaVision Biotec, Bielefeld, Germany).…”
Section: Journal Of Biological Chemistry 34247mentioning
confidence: 99%
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“…Multifocal Multiphoton Fluorescence Lifetime Imaging Microscopy and Data Analysis-The FRET-FLIM system was described previously (27). Briefly, the FRET-FLIM apparatus combines multifocal multiphoton excitation (TriMscope, LaVision Biotec, Bielefeld, Germany) and a fast-gated CCD camera (Picostar, LaVision Biotec, Bielefeld, Germany).…”
Section: Journal Of Biological Chemistry 34247mentioning
confidence: 99%
“…Analysis of the data was done by using Image-J. Quantitative analysis was carried out as described previously (27). Briefly, the images from a timegated stack are first smoothed by a 3 ϫ 3 mask to decrease the noise.…”
Section: Journal Of Biological Chemistry 34247mentioning
confidence: 99%
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“…The benefits of the AMDI algorithm are not limited to this fitting method and may easily be extended to all the minimization algorithms classically used in time domain FLIM image analysis (such as the Newton trust region regression method, which is more robust to dispersive elements). Moreover, it should be noted that since the AMDI algorithm is an inflation of temporal fluorescence intensity decays, it is also compatible with all existing time domain FLIM image analysis strategies (28,(31)(32)(33)(34)(35).…”
Section: Discussionmentioning
confidence: 88%
“…Recently, many efforts have been made to help simplify the results interpretation in classic FLIM experiments for nonspecialists (15)(16)(17). Among all these techniques, the polar plot or phasor (16,(18)(19)(20) is a promising approach that avoids complex fitting algorithm strategies and provides a fast, graphical representation of fluorescence lifetimes.…”
mentioning
confidence: 99%