Literature DB >> 23931519

Fluorescence lifetime imaging microscopy for quantitative biological imaging.

Leng-Chun Chen1, William R Lloyd, Ching-Wei Chang, Dhruv Sud, Mary-Ann Mycek.   

Abstract

Fluorescence lifetime imaging microscopy (FLIM) is a method for measuring fluorophore lifetimes with microscopic spatial resolution, providing a useful tool for cell biologists to detect, visualize, and investigate structure and function of biological systems. In this chapter, we begin by introducing the basic theory of fluorescence lifetime, including the characteristics of fluorophore decay, followed by a discussion of factors affecting fluorescence lifetimes and the potential advantages of fluorescence lifetime as a source of image contrast. Experimental methods for creating lifetime maps, including both time- and frequency-domain experimental approaches, are then introduced. Then, FLIM data analysis methods are discussed, including rapid lifetime determination, multiexponential fitting, Laguerre polynomial fitting, and phasor plot analysis. After, data analysis methods are introduced that improve lifetime precision of FLIM maps based upon optimal virtual gating and total variation denoising. The chapter concludes by highlighting several recent FLIM applications for quantitative biological imaging, including Förster resonance energy transfer-FLIM, fluorescence correlation spectroscopy-FLIM, multispectral-FLIM, and multiphoton-FLIM.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Fluorescence correlation spectroscopy FLIM; Fluorescence lifetime imaging microscopy; Förster resonance energy transfer FLIM; Laguerre polynomial fitting; Multiexponential fitting; Multiphoton FLIM; Multispectral FLIM; Optimal gating; Phasor analysis; Total variation denoising

Mesh:

Substances:

Year:  2013        PMID: 23931519     DOI: 10.1016/B978-0-12-407761-4.00020-8

Source DB:  PubMed          Journal:  Methods Cell Biol        ISSN: 0091-679X            Impact factor:   1.441


  16 in total

1.  The potential of label-free nonlinear optical molecular microscopy to non-invasively characterize the viability of engineered human tissue constructs.

Authors:  Leng-Chun Chen; William R Lloyd; Shiuhyang Kuo; Hyungjin Myra Kim; Cynthia L Marcelo; Stephen E Feinberg; Mary-Ann Mycek
Journal:  Biomaterials       Date:  2014-05-20       Impact factor: 12.479

Review 2.  What Combined Measurements From Structures and Imaging Tell Us About DNA Damage Responses.

Authors:  Chris A Brosey; Zamal Ahmed; Susan P Lees-Miller; John A Tainer
Journal:  Methods Enzymol       Date:  2017-05-29       Impact factor: 1.600

3.  Fluorophore:dendrimer ratio impacts cellular uptake and intracellular fluorescence lifetime.

Authors:  Casey A Dougherty; Sriram Vaidyanathan; Bradford G Orr; Mark M Banaszak Holl
Journal:  Bioconjug Chem       Date:  2015-02-05       Impact factor: 4.774

4.  Fluorescence Lifetime-Based Tumor Contrast Enhancement Using an EGFR Antibody-Labeled Near-Infrared Fluorophore.

Authors:  Rahul Pal; Homan Kang; Hak Soo Choi; Anand T N Kumar
Journal:  Clin Cancer Res       Date:  2019-09-03       Impact factor: 12.531

Review 5.  FRAP, FLIM, and FRET: Detection and analysis of cellular dynamics on a molecular scale using fluorescence microscopy.

Authors:  Carla De Los Santos; Ching-Wei Chang; Mary-Ann Mycek; Richard A Cardullo
Journal:  Mol Reprod Dev       Date:  2015-05-25       Impact factor: 2.609

6.  Using FLIM-FRET for Characterizing Spatial Interactions in the Spindle.

Authors:  Stephanie C Ems-McClung; Claire E Walczak
Journal:  Methods Mol Biol       Date:  2022

7.  Design and Use of a Gold Nanoparticle-Carbon Dot Hybrid for a FLIM-Based IMPLICATION Nano Logic Gate.

Authors:  Shweta Pawar; Hamootal Duadi; Yafit Fleger; Dror Fixler
Journal:  ACS Omega       Date:  2022-06-20

8.  TOWARD BAYESIAN INFERENCE OF THE SPATIAL DISTRIBUTION OF PROTEINS FROM THREE-CUBE FÖRSTER RESONANCE ENERGY TRANSFER DATA.

Authors:  Jan-Otto Hooghoudt; Margarida Barroso; Rasmus Waagepetersen
Journal:  Ann Appl Stat       Date:  2017-10-05       Impact factor: 2.083

9.  Laurdan monitors different lipids content in eukaryotic membrane during embryonic neural development.

Authors:  Gabriele Bonaventura; Maria Luisa Barcellona; Ottavia Golfetto; Jamison L Nourse; Lisa A Flanagan; Enrico Gratton
Journal:  Cell Biochem Biophys       Date:  2014-11       Impact factor: 2.194

Review 10.  FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring.

Authors:  Yuzhen Ouyang; Yanping Liu; Zhiming M Wang; Zongwen Liu; Minghua Wu
Journal:  Nanomicro Lett       Date:  2021-06-03
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