help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Biophys. J. BioFAST: First Published November 2, 2007. doi:10.1529/biophysj.107.120154
© 2007 by the Biophysical Society.

A more recent version of this article appeared on January 15, 2008.
This Article
Right arrow Full Text (Rapid PDF)
Right arrow Supplement
Right arrow All Versions of this Article:
biophysj.107.120154v1
94/2/L14    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Digman, M.
Right arrow Articles by Gratton, E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Digman, M.
Right arrow Articles by Gratton, E.

SPECTROSCOPY, IMAGING, OTHER TECHNIQUES

The Phasor approach to fluorescence lifetime imaging analysis

Michelle Digman 1, Valeria R. Caiolfa 2, Moreno Zamai 2 and Enrico Gratton 3*

1 University of California at Irvine
2 San Raffaele Scientific Institute
3 University of California, Irvine

* To whom correspondence should be addressed. E-mail: egratton22{at}yahoo.com.

Submitted on August 18, 2007
Revised on September 12, 2007
Accepted on 17 September 2007


  Abstract
Changing the data representation from the classical time delay histogram to the phasor representation provides a global view of the fluorescence decay at each pixel of an image. In the phasor representation we can easily recognize the presence of different molecular species in a pixel or the occurrence of FRET. The analysis of the FLIM data in the phasor space is done observing clustering of pixels values in specific regions of the phasor plot rather than by fitting the fluorescence decay using exponentials. The analysis is instantaneous since is not based on calculations or non-linear fitting. The phasor approach has the potential to simplyfy the way data are analyzed in FLIM, paving the way for the analysis of large data sets and, in general, making the FLIM technique accessible to the non expert in spectroscopy and data analysis.

Key Words: FLIM, FRET, Fluorescence lifetime, Phasors




This article has been cited by other articles:


Home page
 Biophys. JHome page
S. Padilla-Parra, N. Auduge, M. Coppey-Moisan, and M. Tramier
Quantitative FRET Analysis by Fast Acquisition Time Domain FLIM at High Spatial Resolution in Living Cells
Biophys. J., September 15, 2008; 95(6): 2976 - 2988.
[Abstract] [Full Text] [PDF]

Home page
 Biophys. JHome page
G.-J. Kremers, E. B. van Munster, J. Goedhart, and T. W. J. Gadella Jr.
Quantitative Lifetime Unmixing of Multiexponentially Decaying Fluorophores Using Single-Frequency Fluorescence Lifetime Imaging Microscopy
Biophys. J., July 1, 2008; 95(1): 378 - 389.
[Abstract] [Full Text] [PDF]

Home page
 JCBHome page
V. R. Caiolfa, M. Zamai, G. Malengo, A. Andolfo, C. D. Madsen, J. Sutin, M. A. Digman, E. Gratton, F. Blasi, and N. Sidenius
Monomer dimer dynamics and distribution of GPI-anchored uPAR are determined by cell surface protein assemblies
J. Cell Biol., December 3, 2007; 179(5): 1067 - 1082.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 2007 by the Biophysical Society.