Literature DB >> 30295346

Differences between FLIM phasor analyses for data collected with the Becker and Hickl SPC830 card and with the FLIMbox card.

Suman Ranjit1, Leonel Malacrida1,2, Enrico Gratton1.   

Abstract

The phasor approach to FLIM (Fluorescence Lifetime Imaging Microscopy) is becoming popular due to the powerful fit free analysis and the visualization of the decay at each point in images of cells and tissues. However, although several implementation of the method are offered by manufactures of FLIM accessories for microscopes, the details of the conversion of the decay to phasors at each point in an image requires some consideration. Here, we show that if the decay is not properly acquired, the apparently simple phasor transformation can provide incorrect phasor plots and the results may be misinterpreted. In particular, we show the disagreement in experimental data acquired on the same samples using the two cards (FLIMbox, frequency domain and Becker & Hickl BH 830, time domain) and the effect produced by using the BH 830 card with different settings. This difference in data acquisition translates to the assignment of phasor components calculated using different acquisition parameters. This effect is already present in the original data that are not acquired with the proper parameters for the phasor conversion. We also show that the difference in the resolution of components already exists in the data acquired in the time domain when used with settings that do not allow acquisition of the fluorescence decay on a sufficient large time scale. RESEARCH HIGHLIGHTS: This paper is intended to made researchers aware of some simple requirements for the conversion of time-domain data (typically TCSPC) to phasors. The use of phasors for FLIM analysis has seen a surge of popularity. Since the phasor approach is a fit free method and has a powerful visualization of the data, it appears very simple to use. This paper shows that when the original data in the time domain is not acquired with the proper time range to cover the lifetimes in a sample, the conversion to phasors can produce very erroneous results. These results are appearing more frequently in the literature since many of the manufacturers of FLIM accessories for microscopes are now offering the phasor analysis in their software. Here, we show that the phasor transformation per se cannot correct for the problems with data acquisition and that one is misled to think that the "phasor approach" is a universal fix for the lack of the proper time range for data acquisition.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  Becker & Hickl; FLIM; FLIMBox; fluorescence; lifetime; phasor analysis

Year:  2018        PMID: 30295346      PMCID: PMC6240382          DOI: 10.1002/jemt.23061

Source DB:  PubMed          Journal:  Microsc Res Tech        ISSN: 1059-910X            Impact factor:   2.769


  15 in total

1.  Applications of phasors to in vitro time-resolved fluorescence measurements.

Authors:  Martin Stefl; Nicholas G James; Justin A Ross; David M Jameson
Journal:  Anal Biochem       Date:  2010-11-13       Impact factor: 3.365

2.  Applications of phasor plots to in vitro protein studies.

Authors:  Nicholas G James; Justin A Ross; Martin Stefl; David M Jameson
Journal:  Anal Biochem       Date:  2010-11-13       Impact factor: 3.365

3.  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

4.  Fluorescence lifetime images and correlation spectra obtained by multidimensional time-correlated single photon counting.

Authors:  W Becker; A Bergmann; E Haustein; Z Petrasek; P Schwille; C Biskup; L Kelbauskas; K Benndorf; N Klöcker; T Anhut; I Riemann; K König
Journal:  Microsc Res Tech       Date:  2006-03       Impact factor: 2.769

5.  A modified phasor approach for analyzing time-gated fluorescence lifetime images.

Authors:  F Fereidouni; A Esposito; G A Blab; H C Gerritsen
Journal:  J Microsc       Date:  2011-09-20       Impact factor: 1.758

6.  A wide-field TCSPC FLIM system based on an MCP PMT with a delay-line anode.

Authors:  Wolfgang Becker; Liisa M Hirvonen; James Milnes; Thomas Conneely; Ottmar Jagutzki; Holger Netz; Stefan Smietana; Klaus Suhling
Journal:  Rev Sci Instrum       Date:  2016-09       Impact factor: 1.523

7.  Spectral phasor analysis of LAURDAN fluorescence in live A549 lung cells to study the hydration and time evolution of intracellular lamellar body-like structures.

Authors:  Leonel Malacrida; Soledad Astrada; Arturo Briva; Mariela Bollati-Fogolín; Enrico Gratton; Luis A Bagatolli
Journal:  Biochim Biophys Acta       Date:  2016-07-30

8.  Spectral phasor analysis reveals altered membrane order and function of root hair cells in Arabidopsis dry2/sqe1-5 drought hypersensitive mutant.

Authors:  Florencia Sena; Mariana Sotelo-Silveira; Soledad Astrada; Miguel A Botella; Leonel Malacrida; Omar Borsani
Journal:  Plant Physiol Biochem       Date:  2017-08-26       Impact factor: 4.270

Review 9.  Multifrequency phase and modulation fluorometry.

Authors:  E Gratton; D M Jameson; R D Hall
Journal:  Annu Rev Biophys Bioeng       Date:  1984

10.  A multidimensional phasor approach reveals LAURDAN photophysics in NIH-3T3 cell membranes.

Authors:  Leonel Malacrida; David M Jameson; Enrico Gratton
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

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  9 in total

1.  Phasor S-FLIM: a new paradigm for fast and robust spectral fluorescence lifetime imaging.

Authors:  Lorenzo Scipioni; Alessandro Rossetta; Giulia Tedeschi; Enrico Gratton
Journal:  Nat Methods       Date:  2021-04-15       Impact factor: 28.547

2.  Determination of the metabolic index using the fluorescence lifetime of free and bound nicotinamide adenine dinucleotide using the phasor approach.

Authors:  Suman Ranjit; Leonel Malacrida; Milka Stakic; Enrico Gratton
Journal:  J Biophotonics       Date:  2019-07-29       Impact factor: 3.207

3.  Fast fit-free analysis of fluorescence lifetime imaging via deep learning.

Authors:  Jason T Smith; Ruoyang Yao; Nattawut Sinsuebphon; Alena Rudkouskaya; Nathan Un; Joseph Mazurkiewicz; Margarida Barroso; Pingkun Yan; Xavier Intes
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-12       Impact factor: 11.205

4.  Real-time pixelwise phasor analysis for video-rate two-photon fluorescence lifetime imaging microscopy.

Authors:  Janet E Sorrells; Rishyashring R Iyer; Lingxiao Yang; Andrew J Bower; Darold R Spillman; Eric J Chaney; Haohua Tu; Stephen A Boppart
Journal:  Biomed Opt Express       Date:  2021-06-11       Impact factor: 3.562

5.  Advanced Fluorescence Microscopy Methods to Study Dynamics of Fluorescent Proteins In Vivo.

Authors:  Marcela Díaz; Leonel Malacrida
Journal:  Methods Mol Biol       Date:  2023

Review 6.  Advances in fluorescence microscopy techniques to study kidney function.

Authors:  Suman Ranjit; Luca Lanzanò; Andrew E Libby; Enrico Gratton; Moshe Levi
Journal:  Nat Rev Nephrol       Date:  2020-09-18       Impact factor: 28.314

7.  Blind Resolution of Lifetime Components in Individual Pixels of Fluorescence Lifetime Images Using the Phasor Approach.

Authors:  Alexander Vallmitjana; Belén Torrado; Alexander Dvornikov; Suman Ranjit; Enrico Gratton
Journal:  J Phys Chem B       Date:  2020-11-03       Impact factor: 3.466

Review 8.  Altered substrate metabolism in neurodegenerative disease: new insights from metabolic imaging.

Authors:  Nicholas R W Cleland; Saif I Al-Juboori; Evgenia Dobrinskikh; Kimberley D Bruce
Journal:  J Neuroinflammation       Date:  2021-10-28       Impact factor: 8.322

Review 9.  Linear Combination Properties of the Phasor Space in Fluorescence Imaging.

Authors:  Belén Torrado; Leonel Malacrida; Suman Ranjit
Journal:  Sensors (Basel)       Date:  2022-01-27       Impact factor: 3.576

  9 in total

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