Literature DB >> 23736399

High speed multispectral fluorescence lifetime imaging.

Farzad Fereidouni1, Keimpe Reitsma, Hans C Gerritsen.   

Abstract

We report a spectrally resolved fluorescence lifetime imaging system based on time gated single photon detection with a fixed gate width of 200 ps and 7 spectral channels. Time gated systems can operate at high count rates but usually have large gate widths and sample only part of the fluorescence decay curve. In the system presented in this work, the fluorescence signal is sampled using a high speed transceiver. An error analysis is carried out to characterize the performance of both lifetime and spectral detection. The effect of gate width and spectral channel width on the accuracy of estimated lifetimes and spectral widths is described. The performance of the whole instrument is evaluated at count rates of up to 12 MHz. Accurate fluorescence lifetimes (error < 2%) are recorded at count rates as high as 5 MHz. This is limited by the PMT performance, not by the electronics. Analysis of the large spectral lifetime image sets is challenging and time-consuming. Here, we demonstrate the use of lifetime and spectral phasors for analyzing images of fibroblast cells with 2 different labeled components. The phasor approach provides a fast and intuitive way of analyzing the results of spectrally resolved fluorescence lifetime imaging experiments.

Mesh:

Year:  2013        PMID: 23736399     DOI: 10.1364/OE.21.011769

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  17 in total

1.  Multi-target spectrally resolved fluorescence lifetime imaging microscopy.

Authors:  Thomas Niehörster; Anna Löschberger; Ingo Gregor; Benedikt Krämer; Hans-Jürgen Rahn; Matthias Patting; Felix Koberling; Jörg Enderlein; Markus Sauer
Journal:  Nat Methods       Date:  2016-01-25       Impact factor: 28.547

2.  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

3.  Hyperspectral phasor analysis enables multiplexed 5D in vivo imaging.

Authors:  Francesco Cutrale; Vikas Trivedi; Le A Trinh; Chi-Li Chiu; John M Choi; Marcela S Artiga; Scott E Fraser
Journal:  Nat Methods       Date:  2017-01-09       Impact factor: 28.547

4.  Reduced temporal sampling effect on accuracy of time-domain fluorescence lifetime Förster resonance energy transfer.

Authors:  Travis Omer; Lingling Zhao; Xavier Intes; Juergen Hahn
Journal:  J Biomed Opt       Date:  2014-08       Impact factor: 3.170

5.  Parallel excitation-emission multiplexed fluorescence lifetime confocal microscopy for live cell imaging.

Authors:  Ming Zhao; Yu Li; Leilei Peng
Journal:  Opt Express       Date:  2014-05-05       Impact factor: 3.894

6.  Dual-mode emission and transmission microscopy for virtual histochemistry using hematoxylin- and eosin-stained tissue sections.

Authors:  Farzad Fereidouni; Austin Todd; Yuheng Li; Che-Wei Chang; Keith Luong; Avi Rosenberg; Yong-Jae Lee; James W Chan; Alexander Borowsky; Karen Matsukuma; Kuang-Yu Jen; Richard Levenson
Journal:  Biomed Opt Express       Date:  2019-11-26       Impact factor: 3.732

7.  Rapid fluorescence lifetime estimation with modified phasor approach and Laguerre deconvolution: a comparative study.

Authors:  Farzad Fereidouni; Dimitris Gorpas; Dinglong Ma; Hussain Fatakdawala; Laura Marcu
Journal:  Methods Appl Fluoresc       Date:  2017-09-01       Impact factor: 3.009

8.  A Review of New High-Throughput Methods Designed for Fluorescence Lifetime Sensing From Cells and Tissues.

Authors:  Aric Bitton; Jesus Sambrano; Samantha Valentino; Jessica P Houston
Journal:  Front Phys       Date:  2021-04-26

9.  Efficient blind spectral unmixing of fluorescently labeled samples using multi-layer non-negative matrix factorization.

Authors:  Thomas Pengo; Arrate Muñoz-Barrutia; Isabel Zudaire; Carlos Ortiz-de-Solorzano
Journal:  PLoS One       Date:  2013-11-08       Impact factor: 3.240

10.  Temporal Data Set Reduction Based on D-Optimality for Quantitative FLIM-FRET Imaging.

Authors:  Travis Omer; Xavier Intes; Juergen Hahn
Journal:  PLoS One       Date:  2015-12-11       Impact factor: 3.240

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