Literature DB >> 19404448

Quantitative analysis of fluorescence lifetime imaging made easy.

Fred S Wouters, Alessandro Esposito.   

Abstract

Fluorescence lifetime imaging is a valuable and versatile tool for the investigation of the molecular environment of fluorophores in living cells. It is ideally suited-and is therefore increasingly used-for the quantification of the occurrence of Förster Resonance Energy Transfer, a powerful microscopy method for the detection of subnanometer conformational changes, protein-protein interactions, and protein biochemical status. However, careful quantitative analysis is required for the correct and meaningful interpretation of fluorescence lifetime data. This can be a daunting task to the nonexpert user, and is the source for many avoidable errors and unsound interpretations. Digman and colleagues (Digman et al., 2007, Biophys. J. 94, L14-6) present an analysis technique that avoids data fitting in favor of a simple graphical polar data representation. In this "phasor" space, the physics of lifetime imaging becomes more intuitive and accessible also to the inexperienced user. The cumulated information from image pixels, even over different cells, describes patterns and trajectories that can be visually interpreted in physically meaningful ways. Its usefulness is demonstrated in the study of the dimerization of the uPAR receptor (Caiolfa et al., 2007, J. Cell Biol. 179, 1067-1082).

Year:  2008        PMID: 19404448      PMCID: PMC2640995          DOI: 10.2976/1.2833600

Source DB:  PubMed          Journal:  HFSP J        ISSN: 1955-205X


  14 in total

Review 1.  Imaging biochemistry inside cells.

Authors:  F S Wouters; P J Verveer; P I Bastiaens
Journal:  Trends Cell Biol       Date:  2001-05       Impact factor: 20.808

2.  Graphical representation and multicomponent analysis of single-frequency fluorescence lifetime imaging microscopy data.

Authors:  A H A Clayton; Q S Hanley; P J Verveer
Journal:  J Microsc       Date:  2004-01       Impact factor: 1.758

3.  Evaluation of global analysis algorithms for single frequency fluorescence lifetime imaging microscopy data.

Authors:  P J Verveer; P I H Bastiaens
Journal:  J Microsc       Date:  2003-01       Impact factor: 1.758

4.  Fluorescence lifetime heterogeneity resolution in the frequency domain by lifetime moments analysis.

Authors:  Alessandro Esposito; Hans C Gerritsen; Fred S Wouters
Journal:  Biophys J       Date:  2005-09-16       Impact factor: 4.033

5.  Innovating lifetime microscopy: a compact and simple tool for life sciences, screening, and diagnostics.

Authors:  Alessandro Esposito; Hans C Gerritsen; Thierry Oggier; Felix Lustenberger; Fred S Wouters
Journal:  J Biomed Opt       Date:  2006 May-Jun       Impact factor: 3.170

6.  Spectrally resolved frequency domain analysis of multi-fluorophore systems undergoing energy transfer.

Authors:  Toni S Forde; Quentin S Hanley
Journal:  Appl Spectrosc       Date:  2006-12       Impact factor: 2.388

7.  The phasor approach to fluorescence lifetime imaging analysis.

Authors:  Michelle A Digman; Valeria R Caiolfa; Moreno Zamai; Enrico Gratton
Journal:  Biophys J       Date:  2007-11-02       Impact factor: 4.033

8.  Optimizing frequency-domain fluorescence lifetime sensing for high-throughput applications: photon economy and acquisition speed.

Authors:  Alessandro Esposito; Hans C Gerritsen; Fred S Wouters
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2007-10       Impact factor: 2.129

9.  A novel fluorescence lifetime imaging system that optimizes photon efficiency.

Authors:  Ryan A Colyer; Claudia Lee; Enrico Gratton
Journal:  Microsc Res Tech       Date:  2008-03       Impact factor: 2.769

10.  A fast global fitting algorithm for fluorescence lifetime imaging microscopy based on image segmentation.

Authors:  S Pelet; M J R Previte; L H Laiho; P T C So
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

View more
  8 in total

Review 1.  Fluorescence lifetime measurements and biological imaging.

Authors:  Mikhail Y Berezin; Samuel Achilefu
Journal:  Chem Rev       Date:  2010-05-12       Impact factor: 60.622

2.  Global analysis of dynamic fluorescence anisotropy by a polarized phasor approach.

Authors:  Yanzhou Zhou; Long Wu; Qinruo Wang; Yonghua Wang
Journal:  J Fluoresc       Date:  2010-06-08       Impact factor: 2.217

3.  Processing of fluorescence lifetime image using modified phasor approach: homo-FRET from the acceptor.

Authors:  Yanzhou Zhou; Yulei Bai; Ci Chen; John M Dickenson
Journal:  J Fluoresc       Date:  2013-03-15       Impact factor: 2.217

Review 4.  Advanced fluorescence microscopy techniques--FRAP, FLIP, FLAP, FRET and FLIM.

Authors:  Hellen C Ishikawa-Ankerhold; Richard Ankerhold; Gregor P C Drummen
Journal:  Molecules       Date:  2012-04-02       Impact factor: 4.411

5.  Endothelial adhesion receptors are recruited to adherent leukocytes by inclusion in preformed tetraspanin nanoplatforms.

Authors:  Olga Barreiro; Moreno Zamai; María Yáñez-Mó; Emilio Tejera; Pedro López-Romero; Peter N Monk; Enrico Gratton; Valeria R Caiolfa; Francisco Sánchez-Madrid
Journal:  J Cell Biol       Date:  2008-10-27       Impact factor: 10.539

6.  G-quadruplex structure and stability illuminated by 2-aminopurine phasor plots.

Authors:  Robert Buscaglia; David M Jameson; Jonathan B Chaires
Journal:  Nucleic Acids Res       Date:  2012-01-12       Impact factor: 16.971

7.  FRET imaging of hemoglobin concentration in Plasmodium falciparum-infected red cells.

Authors:  Alessandro Esposito; Teresa Tiffert; Jakob M A Mauritz; Simon Schlachter; Lawrence H Bannister; Clemens F Kaminski; Virgilio L Lew
Journal:  PLoS One       Date:  2008-11-21       Impact factor: 3.240

8.  Efficient parallel Levenberg-Marquardt model fitting towards real-time automated parametric imaging microscopy.

Authors:  Xiang Zhu; Dianwen Zhang
Journal:  PLoS One       Date:  2013-10-10       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.