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Roy D, Michalet X, Miller EW, Weiss S. Towards optical measurements of membrane potential values in Bacillus subtilis using fluorescence lifetime. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.13.598880. [PMID: 38915670 PMCID: PMC11195253 DOI: 10.1101/2024.06.13.598880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Membrane potential (MP) changes can provide a simple readout of bacterial functional and metabolic state or stress levels. While several optical methods exist for measuring fast changes in MP in excitable cells, there is a dearth of such methods for absolute and precise measurements of steady-state membrane potentials (MPs) in bacterial cells. Conventional electrode-based methods for the measurement of MP are not suitable for calibrating optical methods in small bacterial cells. While optical measurement based on Nernstian indicators have been successfully used, they do not provide absolute or precise quantification of MP or its changes. We present a novel, calibrated MP recording approach to address this gap. In this study, we used a fluorescence lifetime-based approach to obtain a single-cell resolved distribution of the membrane potential and its changes upon extracellular chemical perturbation in a population of bacterial cells for the first time. Our method is based on (i) a unique VoltageFluor (VF) optical transducer, whose fluorescence lifetime varies as a function of MP via photoinduced electron transfer (PeT) and (ii) a quantitative phasor-FLIM analysis for high-throughput readout. This method allows MP changes to be easily visualized, recorded and quantified. By artificially modulating potassium concentration gradients across the membrane using an ionophore, we have obtained a Bacillus subtilis-specific MP versus VF lifetime calibration and estimated the MP for unperturbed B. subtilis cells to be -65 mV and that for chemically depolarized cells as -14 mV. We observed a population level MP heterogeneity of ~6-10 mV indicating a considerable degree of diversity of physiological and metabolic states among individual cells. Our work paves the way for deeper insights into bacterial electrophysiology and bioelectricity research.
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Affiliation(s)
- Debjit Roy
- UCLA-DOE Institute for Genomics and Proteomics, Department of Biological Chemistry, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Xavier Michalet
- Department of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, CA 90095, USA
- California Nano Systems Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Evan W. Miller
- Departments of Chemistry, Molecular and Cell Biology, Helen Wills Neuroscience Institute, University of California at Berkeley, CA 94720, USA
| | - Shimon Weiss
- UCLA-DOE Institute for Genomics and Proteomics, Department of Biological Chemistry, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA
- California Nano Systems Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Physics, Institute for Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat-Gan 52900, Israel
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2
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Kittilukkana A, Carmona A, Pilapong C, Ortega R. TauSTED super-resolution imaging of labile iron in primary hippocampal neurons. Metallomics 2024; 16:mfad074. [PMID: 38148121 DOI: 10.1093/mtomcs/mfad074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/25/2023] [Indexed: 12/28/2023]
Abstract
Iron dyshomeostasis is involved in many neurological disorders, particularly neurodegenerative diseases where iron accumulates in various brain regions. Identifying mechanisms of iron transport in the brain is crucial for understanding the role of iron in healthy and pathological states. In neurons, it has been suggested that iron can be transported by the axon to different brain regions in the form of labile iron; a pool of reactive and exchangeable intracellular iron. Here we report a novel approach to imaging labile ferrous iron, Fe(II), in live primary hippocampal neurons using confocal and TauSTED (stimulated emission depletion) microscopy. TauSTED is based on super-resolution STED nanoscopy, which combines high spatial resolution imaging (<40 nm) with fluorescence lifetime information, thus reducing background noise and improving image quality. We applied TauSTED imaging utilizing biotracker FerroFarRed Fe(II) and found that labile iron was present as submicrometric puncta in dendrites and axons. Some of these iron-rich structures are mobile and move along neuritic pathways, arguing for a labile iron transport mechanism in neurons. This super-resolution imaging approach offers a new perspective for studying the dynamic mechanisms of axonal and dendritic transport of iron at high spatial resolution in living neurons. In addition, this methodology could be transposed to the imaging of other fluorescent metal sensors.
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Affiliation(s)
- Aiyarin Kittilukkana
- Chiang Mai University, Faculty of Associated Medical Sciences, Department of Radiologic Technology, Center of Excellence for Molecular Imaging (CEMI), 50200 Chiang Mai, Thailand
- University Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, Chemical Imaging and Speciation, F-33170 Gradignan, France
| | - Asuncion Carmona
- University Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, Chemical Imaging and Speciation, F-33170 Gradignan, France
| | - Chalermchai Pilapong
- Chiang Mai University, Faculty of Associated Medical Sciences, Department of Radiologic Technology, Center of Excellence for Molecular Imaging (CEMI), 50200 Chiang Mai, Thailand
| | - Richard Ortega
- University Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, Chemical Imaging and Speciation, F-33170 Gradignan, France
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3
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Nikolaev VV, Kistenev YV, Kröger M, Zuhayri H, Darvin ME. Review of optical methods for noninvasive imaging of skin fibroblasts-From in vitro to ex vivo and in vivo visualization. JOURNAL OF BIOPHOTONICS 2024; 17:e202300223. [PMID: 38018868 DOI: 10.1002/jbio.202300223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 10/21/2023] [Accepted: 10/25/2023] [Indexed: 11/30/2023]
Abstract
Fibroblasts are among the most common cell types in the stroma responsible for creating and maintaining the structural organization of the extracellular matrix in the dermis, skin regeneration, and a range of immune responses. Until now, the processes of fibroblast adaptation and functioning in a varying environment have not been fully understood. Modern laser microscopes are capable of studying fibroblasts in vitro and ex vivo. One-photon- and two-photon-excited fluorescence microscopy, Raman spectroscopy/microspectroscopy are well-suited noninvasive optical methods for fibroblast imaging in vitro and ex vivo. In vivo staining-free fibroblast imaging is not still implemented. The exception is fibroblast imaging in tattooed skin. Although in vivo noninvasive staining-free imaging of fibroblasts in the skin has not yet been implemented, it is expected in the future. This review summarizes the state-of-the-art in fibroblast visualization using optical methods and discusses the advantages, limitations, and prospects for future noninvasive imaging.
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Affiliation(s)
- Viktor V Nikolaev
- Tomsk State University, Laboratory of Molecular Imaging and Machine Learning, Tomsk, Russia
| | - Yury V Kistenev
- Tomsk State University, Laboratory of Molecular Imaging and Machine Learning, Tomsk, Russia
| | - Marius Kröger
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venerology and Allergology, Center of Experimental and Applied Cutaneous Physiology, Berlin, Germany
| | - Hala Zuhayri
- Tomsk State University, Laboratory of Molecular Imaging and Machine Learning, Tomsk, Russia
| | - Maxim E Darvin
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venerology and Allergology, Center of Experimental and Applied Cutaneous Physiology, Berlin, Germany
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4
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Fazel M, Jazani S, Scipioni L, Vallmitjana A, Zhu S, Gratton E, Digman MA, Pressé S. Building Fluorescence Lifetime Maps Photon-by-Photon by Leveraging Spatial Correlations. ACS PHOTONICS 2023; 10:3558-3569. [PMID: 38406580 PMCID: PMC10890823 DOI: 10.1021/acsphotonics.3c00595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) has become a standard tool in the quantitative characterization of subcellular environments. However, quantitative FLIM analyses face several challenges. First, spatial correlations between pixels are often ignored as signal from individual pixels is analyzed independently thereby limiting spatial resolution. Second, existing methods deduce photon ratios instead of absolute lifetime maps. Next, the number of fluorophore species contributing to the signal is unknown, while excited state lifetimes with <1 ns difference are difficult to discriminate. Finally, existing analyses require high photon budgets and often cannot rigorously propagate experimental uncertainty into values over lifetime maps and number of species involved. To overcome all of these challenges simultaneously and self-consistently at once, we propose the first doubly nonparametric framework. That is, we learn the number of species (using Beta-Bernoulli process priors) and absolute maps of these fluorophore species (using Gaussian process priors) by leveraging information from pulses not leading to observed photon. We benchmark our framework using a broad range of synthetic and experimental data and demonstrate its robustness across a number of scenarios including cases where we recover lifetime differences between species as small as 0.3 ns with merely 1000 photons.
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Affiliation(s)
- Mohamadreza Fazel
- Center for Biological Physics and Department of Physics, Arizona State University, Tempe, Arizona 85287, United States
| | - Sina Jazani
- Center for Biological Physics and Department of Physics, Arizona State University, Tempe, Arizona 85287, United States
| | - Lorenzo Scipioni
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States; Laboratory of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California, Irvine, California 92697, United States
| | - Alexander Vallmitjana
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States; Laboratory of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California, Irvine, California 92697, United States
| | - Songning Zhu
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States; Laboratory of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California, Irvine, California 92697, United States
| | - Enrico Gratton
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States; Laboratory of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California, Irvine, California 92697, United States
| | - Michelle A Digman
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States; Laboratory of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California, Irvine, California 92697, United States
| | - Steve Pressé
- Center for Biological Physics and Department of Physics, Arizona State University, Tempe, Arizona 85287, United States; School of Molecular Science, Arizona State University, Tempe, Arizona 85287, United States
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5
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Coucke Q, Parveen N, Fernández GS, Qian C, Hofkens J, Debyser Z, Hendrix J. Particle-based phasor-FLIM-FRET resolves protein-protein interactions inside single viral particles. BIOPHYSICAL REPORTS 2023; 3:100122. [PMID: 37649577 PMCID: PMC10463199 DOI: 10.1016/j.bpr.2023.100122] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 08/07/2023] [Indexed: 09/01/2023]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) is a popular modality to create additional contrast in fluorescence images. By carefully analyzing pixel-based nanosecond lifetime patterns, FLIM allows studying complex molecular populations. At the single-molecule or single-particle level, however, image series often suffer from low signal intensities per pixel, rendering it difficult to quantitatively disentangle different lifetime species, such as during Förster resonance energy transfer (FRET) analysis in the presence of a significant donor-only fraction. In this article we investigate whether an object localization strategy and the phasor approach to FLIM have beneficial effects when carrying out FRET analyses of single particles. Using simulations, we first showed that an average of ∼300 photons, spread over the different pixels encompassing single fluorescing particles and without background, is enough to determine a correct phasor signature (SD < 5% for a 4-ns lifetime). For immobilized single- or double-labeled dsDNA molecules, we next validated that particle-based phasor-FLIM-FRET readily allows estimating fluorescence lifetimes and FRET from single molecules. Thirdly, we applied particle-based phasor-FLIM-FRET to investigate protein-protein interactions in subdiffraction HIV-1 viral particles. To do this, we first quantitatively compared the fluorescence brightness, lifetime, and photostability of different popular fluorescent protein-based FRET probes when genetically fused to the HIV-1 integrase enzyme in viral particles, and conclude that eGFP, mTurquoise2, and mScarlet perform best. Finally, for viral particles coexpressing FRET-donor/acceptor-labeled IN, we determined the absolute FRET efficiency of IN oligomers. Available in a convenient open-source graphical user interface, we believe that particle-based phasor-FLIM-FRET is a promising tool to provide detailed insights in samples suffering from low overall signal intensities.
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Affiliation(s)
- Quinten Coucke
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
| | - Nagma Parveen
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
- Department of Chemistry, Indian Institute of Technology Kanpur, Kanpur, India
| | - Guillermo Solís Fernández
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
- UFIEC, National Institute of Health Carlos III, Madrid, Spain
| | - Chen Qian
- Department of Chemistry, Center for Nano Science (CENS), Center for Integrated Protein Science Munich (CIPSM), and Nanosystems Initiative Munich (NIM), Ludwig Maximilians-Universität München, Munich, Germany
| | - Johan Hofkens
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
- Max Planck Institute for Polymer Research, Mainz, Germany
| | - Zeger Debyser
- Laboratory for Molecular Virology and Gene Therapy, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Jelle Hendrix
- Molecular Imaging and Photonics Division, Department of Chemistry, KU Leuven, Leuven, Belgium
- Dynamic Bioimaging Lab, Advanced Optical Microscopy Centre and Biomedical Research Institute, Hasselt University, Hasselt, Belgium
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6
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Wilda CB, Burnstock A, Suhling K, Mattioli Della Rocca F, Henderson RK, Nedbal J. Visualising varnish removal for conservation of paintings by fluorescence lifetime imaging (FLIM). HERITAGE SCIENCE 2023; 11:127. [PMID: 37333623 PMCID: PMC10276100 DOI: 10.1186/s40494-023-00957-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 05/17/2023] [Indexed: 06/20/2023]
Abstract
The removal of varnish from the surface is a key step in painting conservation. Varnish removal is traditionally monitored by examining the painting surface under ultraviolet illumination. We show here that by imaging the fluorescence lifetime instead, much better contrast, sensitivity, and specificity can be achieved. For this purpose, we developed a lightweight (4.8 kg) portable instrument for macroscopic fluorescence lifetime imaging (FLIM). It is based on a time-correlated single-photon avalanche diode (SPAD) camera to acquire the FLIM images and a pulsed 440 nm diode laser to excite the varnish fluorescence. A historical model painting was examined to demonstrate the capabilities of the system. We found that the FLIM images provided information on the distribution of the varnish on the painting surface with greater sensitivity, specificity, and contrast compared to the traditional ultraviolet illumination photography. The distribution of the varnish and other painting materials was assessed using FLIM during and after varnish removal with different solvent application methods. Monitoring of the varnish removal process between successive solvent applications by a swab revealed an evolving image contrast as a function of the cleaning progress. FLIM of dammar and mastic resin varnishes identified characteristic changes to their fluorescence lifetimes depending on their ageing conditions. Thus, FLIM has a potential to become a powerful and versatile tool to visualise varnish removal from paintings. Graphical Abstract
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Affiliation(s)
- Christine B. Wilda
- Department of Physics, King’s College London, Strand, London, WC2R 2LS United Kingdom
- The Courtauld, Somerset House, Strand, London, WC1X 0RN United Kingdom
- ConservArt, 6620 E Rogers Cir, Boca Raton, FL 33487 United States
| | - Aviva Burnstock
- The Courtauld, Somerset House, Strand, London, WC1X 0RN United Kingdom
| | - Klaus Suhling
- Department of Physics, King’s College London, Strand, London, WC2R 2LS United Kingdom
| | - Francesco Mattioli Della Rocca
- School of Engineering, University of Edinburgh, King’s Buildings, Edinburgh, EH9 3JL United Kingdom
- Europe Technology Development Centre, Sony Semiconductor Solutions - Sony Europe B.V., Trento, Italy
| | - Robert K. Henderson
- School of Engineering, University of Edinburgh, King’s Buildings, Edinburgh, EH9 3JL United Kingdom
| | - Jakub Nedbal
- Department of Physics, King’s College London, Strand, London, WC2R 2LS United Kingdom
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7
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Fazel M, Vallmitjana A, Scipioni L, Gratton E, Digman MA, Pressé S. Fluorescence lifetime: Beating the IRF and interpulse window. Biophys J 2023; 122:672-683. [PMID: 36659850 PMCID: PMC9989884 DOI: 10.1016/j.bpj.2023.01.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/29/2022] [Accepted: 01/11/2023] [Indexed: 01/20/2023] Open
Abstract
Fluorescence lifetime imaging captures the spatial distribution of chemical species across cellular environments employing pulsed illumination confocal setups. However, quantitative interpretation of lifetime data continues to face critical challenges. For instance, fluorescent species with known in vitro excited-state lifetimes may split into multiple species with unique lifetimes when introduced into complex living environments. What is more, mixtures of species, which may be both endogenous and introduced into the sample, may exhibit 1) very similar lifetimes as well as 2) wide ranges of lifetimes including lifetimes shorter than the instrumental response function or whose duration may be long enough to be comparable to the interpulse window. By contrast, existing methods of analysis are optimized for well-separated and intermediate lifetimes. Here, we broaden the applicability of fluorescence lifetime analysis by simultaneously treating unknown mixtures of arbitrary lifetimes-outside the intermediate, Goldilocks, zone-for data drawn from a single confocal spot leveraging the tools of Bayesian nonparametrics (BNP). We benchmark our algorithm, termed BNP lifetime analysis, using a range of synthetic and experimental data. Moreover, we show that the BNP lifetime analysis method can distinguish and deduce lifetimes using photon counts as small as 500.
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Affiliation(s)
- Mohamadreza Fazel
- Center for Biological Physics, Arizona State University, Tempe, Arizona; Department of Physics, Arizona State University, Tempe, Arizona
| | - Alexander Vallmitjana
- Department of Biomedical Engineering, University of California Irvine, Irvine, California; Laboratory of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California Irvine, Irvine, California
| | - Lorenzo Scipioni
- Department of Biomedical Engineering, University of California Irvine, Irvine, California; Laboratory of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California Irvine, Irvine, California
| | - Enrico Gratton
- Department of Biomedical Engineering, University of California Irvine, Irvine, California; Laboratory of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California Irvine, Irvine, California
| | - Michelle A Digman
- Department of Biomedical Engineering, University of California Irvine, Irvine, California; Laboratory of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California Irvine, Irvine, California
| | - Steve Pressé
- Center for Biological Physics, Arizona State University, Tempe, Arizona; Department of Physics, Arizona State University, Tempe, Arizona; School of Molecular Science, Arizona State University, Tempe, Arizona.
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8
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Rahim MK, Zhao J, Patel HV, Lagouros HA, Kota R, Fernandez I, Gratton E, Haun JB. Phasor Analysis of Fluorescence Lifetime Enables Quantitative Multiplexed Molecular Imaging of Three Probes. Anal Chem 2022; 94:14185-14194. [PMID: 36190014 PMCID: PMC10681155 DOI: 10.1021/acs.analchem.2c02149] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The excited-state lifetime is an intrinsic property of fluorescent molecules that can be leveraged for multiplexed imaging. An advantage of fluorescence lifetime-based multiplexing is that signals from multiple probes can be gathered simultaneously, whereas traditional spectral fluorescence imaging typically requires multiple images at different excitation and emission wavelengths. Additionally, lifetime and spectra could both be utilized to expand the multiplexing capacity of fluorescence. However, resolving exogenous molecular probes based exclusively on the fluorescence lifetime has been limited by technical challenges in analyzing lifetime data. The phasor approach to lifetime analysis offers a simple, graphical solution that has increasingly been used to assess endogenous cellular autofluorescence to quantify metabolic factors. In this study, we employed the phasor analysis of FLIM to quantitatively resolve three exogenous, antibody-targeted fluorescent probes with similar spectral properties based on lifetime information alone. First, we demonstrated that three biomarkers that were spatially restricted to the cell membrane, cytosol, or nucleus could be accurately distinguished using FLIM and phasor analysis. Next, we successfully resolved and quantified three probes that were all targeted to cell surface biomarkers. Finally, we demonstrated that lifetime-based quantitation accuracy can be improved through intensity matching of various probe-biomarker combinations, which will expand the utility of this technique. Importantly, we reconstructed images for each individual probe, as well as an overlay of all three probes, from a single FLIM image. Our results demonstrate that FLIM and phasor analysis can be leveraged as a powerful tool for simultaneous detection of multiple biomarkers with high sensitivity and accuracy.
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Affiliation(s)
- Maha K Rahim
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Jinghui Zhao
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Hinesh V Patel
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Hauna A Lagouros
- Department of Materials Science and Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Rajesh Kota
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Irma Fernandez
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Enrico Gratton
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
- Laboratory for Fluorescence Dynamics, University of California Irvine, Irvine, California 92697, United States
- Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, California 92697, United States
| | - Jered B Haun
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
- Department of Materials Science and Engineering, University of California Irvine, Irvine, California 92697, United States
- Department of Chemical and Biomolecular Engineering, University of California Irvine, Irvine, California 92697, United States
- Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, California 92697, United States
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9
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Experimental investigation to check the relation of third order optical nonlinearities of Dawson polyoxometalate-porphyrin hybrids with excited state dynamics by using ultrafast life time decay technique. INORG CHEM COMMUN 2022. [DOI: 10.1016/j.inoche.2022.109712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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10
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Rani S, Khan R, Tariq M, Ahmad Z, Asif HM, Khan MA. Experimental analysis of excited state dynamics in Anderson-type POM@porphyrin hybrids in relevance to third-order nonlinear optical properties. J PORPHYR PHTHALOCYA 2022. [DOI: 10.1142/s1088424622500225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
This work accounts for the active contribution of life time decay in the field of nonlinear optics, especially for an energetic donor acceptor couple (porphyrin and polyoxometalate (POM)). Currently, two POM free porphyrins (Di-Tris-N@Por and Di-Tris@Por) and their two hybrids with POM (Di-Tris-NPor@Di-AndPOM-1 and Di-TrisPor@Di-AndPOM-2) have been studied keenly in nanosecond time span and resulted lifetimes ([Formula: see text]1 and [Formula: see text]2) have been compared with nonlinear optical parameters. The results demonstrated that Di-Tris-NPor@Di-AndPOM-1 exhibited better third-order nonlinear optical susceptibility [Formula: see text]3, second hyperpolarizability [Formula: see text] and nonlinear absorption [Formula: see text] and Di-TrisPor@Di-AndPOM-2 than Di-TrisPor@Di-AndPOM-2. This superiority of nonlinear optical parameters was supported by lifetime decay studies and electrochemical studies. It is revealed that more relaxation time in excited states lower will be the NLO response. The lifetime decay ([Formula: see text]1) value of Di-Tris-NPor@Di-AndPOM-1 is 3.86ns which is higher than Di-TrisPor@Di-AndPOM-2 possessing lifetime decay ([Formula: see text]1) value of 2.45ns. Moreover, lower energy of charge separated state (-0.88 eV) of Di-Tris-NPor@Di-AndPOM-1 indicates the facile electron transfer in Di-Tris-NPor@Di-AndPOM-1 than Di-TrisPor@Di-AndPOM-2 which experienced more energy of charge separated state. Rapid intersystem crossing is also responsible for the electron transfer from porphyrin moiety to POM moiety.
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Affiliation(s)
- Sonia Rani
- Institute of Chemical Sciences, Bahauddin Zakariya University Multan, 60800, Pakistan
| | - Rabbia Khan
- Institute of Chemical Sciences, Bahauddin Zakariya University Multan, 60800, Pakistan
| | - Muhammad Tariq
- Institute of Chemical Sciences, Bahauddin Zakariya University Multan, 60800, Pakistan
| | - Zahoor Ahmad
- Department of Chemistry, University of Engineering and Technology, Lahore, 54890, Pakistan
| | - Hafiz M. Asif
- Institute of Chemical Sciences, Bahauddin Zakariya University Multan, 60800, Pakistan
| | - Muhammad A. Khan
- Institute of Chemical Sciences, Bahauddin Zakariya University Multan, 60800, Pakistan
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11
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Fazel M, Jazani S, Scipioni L, Vallmitjana A, Gratton E, Digman MA, Pressé S. High Resolution Fluorescence Lifetime Maps from Minimal Photon Counts. ACS PHOTONICS 2022; 9:1015-1025. [PMID: 35847830 PMCID: PMC9278809 DOI: 10.1021/acsphotonics.1c01936] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) may reveal subcellular spatial lifetime maps of key molecular species. Yet, such a quantitative picture of life necessarily demands high photon budgets at every pixel under the current analysis paradigm, thereby increasing acquisition time and photodamage to the sample. Motivated by recent developments in computational statistics, we provide a direct means to update our knowledge of the lifetime maps of species of different lifetimes from direct photon arrivals, while accounting for experimental features such as arbitrary forms of the instrument response function (IRF) and exploiting information from empty laser pulses not resulting in photon detection. Our ability to construct lifetime maps holds for arbitrary lifetimes, from short lifetimes (comparable to the IRF) to lifetimes exceeding interpulse times. As our method is highly data efficient, for the same amount of data normally used to determine lifetimes and photon ratios, working within the Bayesian paradigm, we report direct blind unmixing of lifetimes with subnanosecond resolution and subpixel spatial resolution using standard raster scan FLIM images. We demonstrate our method using a wide range of simulated and experimental data.
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Affiliation(s)
- Mohamadreza Fazel
- Center
for Biological Physics, Department of Physics, Arizona State University, Tempe, Arizona 85287, United States
| | - Sina Jazani
- Center
for Biological Physics, Department of Physics, Arizona State University, Tempe, Arizona 85287, United States
| | - Lorenzo Scipioni
- Department
of Biomedical Engineering, University of
California Irvine, Irvine, California 92697, United States
- Laboratory
of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California, Irvine, California 92697, United States
| | - Alexander Vallmitjana
- Department
of Biomedical Engineering, University of
California Irvine, Irvine, California 92697, United States
- Laboratory
of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California, Irvine, California 92697, United States
| | - Enrico Gratton
- Department
of Biomedical Engineering, University of
California Irvine, Irvine, California 92697, United States
- Laboratory
of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California, Irvine, California 92697, United States
| | - Michelle A. Digman
- Department
of Biomedical Engineering, University of
California Irvine, Irvine, California 92697, United States
- Laboratory
of Fluorescence Dynamics, The Henry Samueli School of Engineering, University of California, Irvine, California 92697, United States
| | - Steve Pressé
- Center
for Biological Physics, Department of Physics, Arizona State University, Tempe, Arizona 85287, United States
- School
of Molecular Science, Arizona State University, Tempe, Arizona 85287, United States
- E-mail:
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12
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Chen YI, Chang YJ, Liao SC, Nguyen TD, Yang J, Kuo YA, Hong S, Liu YL, Rylander HG, Santacruz SR, Yankeelov TE, Yeh HC. Generative adversarial network enables rapid and robust fluorescence lifetime image analysis in live cells. Commun Biol 2022; 5:18. [PMID: 35017629 PMCID: PMC8752789 DOI: 10.1038/s42003-021-02938-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 11/24/2021] [Indexed: 11/09/2022] Open
Abstract
Fluorescence lifetime imaging microscopy (FLIM) is a powerful tool to quantify molecular compositions and study molecular states in complex cellular environment as the lifetime readings are not biased by fluorophore concentration or excitation power. However, the current methods to generate FLIM images are either computationally intensive or unreliable when the number of photons acquired at each pixel is low. Here we introduce a new deep learning-based method termed flimGANE (fluorescence lifetime imaging based on Generative Adversarial Network Estimation) that can rapidly generate accurate and high-quality FLIM images even in the photon-starved conditions. We demonstrated our model is up to 2,800 times faster than the gold standard time-domain maximum likelihood estimation (TD_MLE) and that flimGANE provides a more accurate analysis of low-photon-count histograms in barcode identification, cellular structure visualization, Förster resonance energy transfer characterization, and metabolic state analysis in live cells. With its advantages in speed and reliability, flimGANE is particularly useful in fundamental biological research and clinical applications, where high-speed analysis is critical.
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Affiliation(s)
- Yuan-I Chen
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Yin-Jui Chang
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Shih-Chu Liao
- ISS, Inc., 1602 Newton Drive, Champaign, IL, 61822, USA
| | - Trung Duc Nguyen
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Jianchen Yang
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Yu-An Kuo
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Soonwoo Hong
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Yen-Liang Liu
- Master Program for Biomedical Engineering, China Medical University, Taichung, 406040, Taiwan
- Research Center for Cancer Biology, China Medical University, Taichung, 406040, Taiwan
| | - H Grady Rylander
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Samantha R Santacruz
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
- Institute for Neuroscience, The University of Texas at Austin, Austin, TX, 78712, USA
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Thomas E Yankeelov
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
- Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, 78712, USA
- Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, 78712, USA
- Department of Oncology, The University of Texas at Austin, Austin, TX, 78712, USA
- Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX, 78712, USA
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Hsin-Chih Yeh
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
- Texas Materials Institute, The University of Texas at Austin, Austin, TX, 78712, USA.
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13
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Li Y, Sapermsap N, Yu J, Tian J, Chen Y, Day-Uei Li D. Histogram clustering for rapid time-domain fluorescence lifetime image analysis. BIOMEDICAL OPTICS EXPRESS 2021; 12:4293-4307. [PMID: 34457415 PMCID: PMC8367240 DOI: 10.1364/boe.427532] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/30/2021] [Accepted: 06/08/2021] [Indexed: 05/03/2023]
Abstract
We propose a histogram clustering (HC) method to accelerate fluorescence lifetime imaging (FLIM) analysis in pixel-wise and global fitting modes. The proposed method's principle was demonstrated, and the combinations of HC with traditional FLIM analysis were explained. We assessed HC methods with both simulated and experimental datasets. The results reveal that HC not only increases analysis speed (up to 106 times) but also enhances lifetime estimation accuracy. Fast lifetime analysis strategies were suggested with execution times around or below 30 μs per histograms on MATLAB R2016a, 64-bit with the Intel Celeron CPU (2950M @ 2GHz).
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Affiliation(s)
- Yahui Li
- Key Laboratory of Ultra-fast Photoelectric Diagnostics Technology, Xi'an Institute of Optics and Precision Mechanics, Xi'an Shaanxi 710049, China
- Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan Shanxi 030006, China
| | - Natakorn Sapermsap
- Department of Physics, Scottish Universities Physics Alliance, University of Strathclyde, Glasgow, G4 0NG, United Kingdom
| | - Jun Yu
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, United Kingdom
| | - Jinshou Tian
- Key Laboratory of Ultra-fast Photoelectric Diagnostics Technology, Xi'an Institute of Optics and Precision Mechanics, Xi'an Shaanxi 710049, China
- Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan Shanxi 030006, China
| | - Yu Chen
- Department of Physics, Scottish Universities Physics Alliance, University of Strathclyde, Glasgow, G4 0NG, United Kingdom
| | - David Day-Uei Li
- Department of Biomedical Engineering, University of Strathclyde, Glasgow G1 0NW, United Kingdom
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14
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Campos-Delgado DU, Gutierrez-Navarro O, Salinas-Martinez R, Duran E, Mejia-Rodriguez AR, Velazquez-Duran MJ, Jo JA. Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach. PLoS One 2021; 16:e0248301. [PMID: 33735228 PMCID: PMC7971520 DOI: 10.1371/journal.pone.0248301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 02/23/2021] [Indexed: 11/18/2022] Open
Abstract
The deconvolution process is a key step for quantitative evaluation of fluorescence lifetime imaging microscopy (FLIM) samples. By this process, the fluorescence impulse responses (FluoIRs) of the sample are decoupled from the instrument response (InstR). In blind deconvolution estimation (BDE), the FluoIRs and InstR are jointly extracted from a dataset with minimal a priori information. In this work, two BDE algorithms are introduced based on linear combinations of multi-exponential functions to model each FluoIR in the sample. For both schemes, the InstR is assumed with a free-form and a sparse structure. The local perspective of the BDE methodology assumes that the characteristic parameters of the exponential functions (time constants and scaling coefficients) are estimated based on a single spatial point of the dataset. On the other hand, the same exponential functions are used in the whole dataset in the global perspective, and just the scaling coefficients are updated for each spatial point. A least squares formulation is considered for both BDE algorithms. To overcome the nonlinear interaction in the decision variables, an alternating least squares (ALS) methodology iteratively solves both estimation problems based on non-negative and constrained optimizations. The validation stage considered first synthetic datasets at different noise types and levels, and a comparison with the standard deconvolution techniques with a multi-exponential model for FLIM measurements, as well as, with two BDE methodologies in the state of the art: Laguerre basis, and exponentials library. For the experimental evaluation, fluorescent dyes and oral tissue samples were considered. Our results show that local and global perspectives are consistent with the standard deconvolution techniques, and they reached the fastest convergence responses among the BDE algorithms with the best compromise in FluoIRs and InstR estimation errors.
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Affiliation(s)
- Daniel U. Campos-Delgado
- Facultad de Ciencias, Universidad Autonoma de San Luis Potosi, San Luis Potosi, Mexico
- Instituto de Investigacion en Comunicacion Optica, Universidad Autonoma de San Luis Potosi, San Luis Potosi, Mexico
- * E-mail:
| | - Omar Gutierrez-Navarro
- Department of Biomedical Engineering, Universidad Autonoma de Aguascalientes, Aguascalientes, Mexico
| | | | - Elvis Duran
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
| | | | | | - Javier A. Jo
- School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma, United States of America
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15
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Li Y, Tian J, Li DDU. Theoretical investigations of a modified compressed ultrafast photography method suitable for single-shot fluorescence lifetime imaging. APPLIED OPTICS 2021; 60:1476-1483. [PMID: 33690594 DOI: 10.1364/ao.415594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 01/15/2021] [Indexed: 06/12/2023]
Abstract
A single-shot fluorescence lifetime imaging (FLIM) method based on the compressed ultrafast photography (CUP) is proposed, named space-restricted CUP (srCUP). srCUP is suitable for imaging objects moving slowly (<∼150/Mmm/s, M is the magnification of the objective lens) in the field of view with the intensity changing within nanoseconds in a measurement window around 10 ns. We used synthetic datasets to explore the performances of srCUP compared with CUP and TCUP (a variant of CUP). srCUP not only provides superior reconstruction performances, but its reconstruction speed is also twofold and threefold faster than CUP and TCUP, respectively. The lifetime determination performances were assessed by estimating lifetime components, amplitude- and intensity-weighted average lifetimes (τA and τI), with the reconstructed scenes using the least squares method based on a bi-exponential model. srCUP has the best accuracy and precision for lifetime determinations with a relative bias less than 7% and a coefficient of variation less than 7% for τA, and a relative bias less than 10% and a coefficient of variation less than 11% for τI.
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16
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Gao D, Barber PR, Chacko JV, Kader Sagar MA, Rueden CT, Grislis AR, Hiner MC, Eliceiri KW. FLIMJ: An open-source ImageJ toolkit for fluorescence lifetime image data analysis. PLoS One 2020; 15:e0238327. [PMID: 33378370 PMCID: PMC7773231 DOI: 10.1371/journal.pone.0238327] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 12/14/2020] [Indexed: 12/11/2022] Open
Abstract
In the field of fluorescence microscopy, there is continued demand for dynamic technologies that can exploit the complete information from every pixel of an image. One imaging technique with proven ability for yielding additional information from fluorescence imaging is Fluorescence Lifetime Imaging Microscopy (FLIM). FLIM allows for the measurement of how long a fluorophore stays in an excited energy state, and this measurement is affected by changes in its chemical microenvironment, such as proximity to other fluorophores, pH, and hydrophobic regions. This ability to provide information about the microenvironment has made FLIM a powerful tool for cellular imaging studies ranging from metabolic measurement to measuring distances between proteins. The increased use of FLIM has necessitated the development of computational tools for integrating FLIM analysis with image and data processing. To address this need, we have created FLIMJ, an ImageJ plugin and toolkit that allows for easy use and development of extensible image analysis workflows with FLIM data. Built on the FLIMLib decay curve fitting library and the ImageJ Ops framework, FLIMJ offers FLIM fitting routines with seamless integration with many other ImageJ components, and the ability to be extended to create complex FLIM analysis workflows. Building on ImageJ Ops also enables FLIMJ's routines to be used with Jupyter notebooks and integrate naturally with science-friendly programming in, e.g., Python and Groovy. We show the extensibility of FLIMJ in two analysis scenarios: lifetime-based image segmentation and image colocalization. We also validate the fitting routines by comparing them against industry FLIM analysis standards.
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Affiliation(s)
- Dasong Gao
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin, Madison, WI, United States of America
| | - Paul R. Barber
- UCL Cancer Institute, Paul O’Gorman Building, University College London, London, United Kingdom
| | - Jenu V. Chacko
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin, Madison, WI, United States of America
| | - Md. Abdul Kader Sagar
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin, Madison, WI, United States of America
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI, United States of America
| | - Curtis T. Rueden
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin, Madison, WI, United States of America
| | - Aivar R. Grislis
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin, Madison, WI, United States of America
| | - Mark C. Hiner
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin, Madison, WI, United States of America
| | - Kevin W. Eliceiri
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin, Madison, WI, United States of America
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI, United States of America
- Department of Medical Physics, University of Wisconsin, Madison, WI, United States of America
- Morgridge Institute for Research, University of Wisconsin, Madison, WI, United States of America
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17
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Tavakoli M, Jazani S, Sgouralis I, Heo W, Ishii K, Tahara T, Pressé S. Direct Photon-by-Photon Analysis of Time-Resolved Pulsed Excitation Data using Bayesian Nonparametrics. CELL REPORTS. PHYSICAL SCIENCE 2020; 1:100234. [PMID: 34414380 PMCID: PMC8373049 DOI: 10.1016/j.xcrp.2020.100234] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Lifetimes of chemical species are typically estimated by either fitting time-correlated single-photon counting (TCSPC) histograms or phasor analysis from time-resolved photon arrivals. While both methods yield lifetimes in a computationally efficient manner, their performance is limited by choices made on the number of distinct chemical species contributing photons. However, the number of species is encoded in the photon arrival times collected for each illuminated spot and need not be set by hand a priori. Here, we propose a direct photon-by-photon analysis of data drawn from pulsed excitation experiments to infer, simultaneously and self-consistently, the number of species and their associated lifetimes from a few thousand photons. We do so by leveraging new mathematical tools within the Bayesian nonparametric. We benchmark our method for both simulated and experimental data for 1-4 species.
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Affiliation(s)
- Meysam Tavakoli
- Department of Physics, Indiana University-Purdue University, Indianapolis, IN 46202, USA
| | - Sina Jazani
- Center for Biological Physics, Department of Physics, Arizona State University, Tempe, AZ 85287, USA
| | - Ioannis Sgouralis
- Center for Biological Physics, Department of Physics, Arizona State University, Tempe, AZ 85287, USA
| | - Wooseok Heo
- Molecular Spectroscopy Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Kunihiko Ishii
- Molecular Spectroscopy Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Ultrafast Spectroscopy Research Team, RIKEN Center for Advanced Photonics (RAP), 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Tahei Tahara
- Molecular Spectroscopy Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Ultrafast Spectroscopy Research Team, RIKEN Center for Advanced Photonics (RAP), 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Steve Pressé
- Center for Biological Physics, Department of Physics, Arizona State University, Tempe, AZ 85287, USA
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85287, USA
- Lead Contact
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18
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Datta R, Heaster TM, Sharick JT, Gillette AA, Skala MC. Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-43. [PMID: 32406215 PMCID: PMC7219965 DOI: 10.1117/1.jbo.25.7.071203] [Citation(s) in RCA: 326] [Impact Index Per Article: 81.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/24/2020] [Indexed: 05/18/2023]
Abstract
SIGNIFICANCE Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique to distinguish the unique molecular environment of fluorophores. FLIM measures the time a fluorophore remains in an excited state before emitting a photon, and detects molecular variations of fluorophores that are not apparent with spectral techniques alone. FLIM is sensitive to multiple biomedical processes including disease progression and drug efficacy. AIM We provide an overview of FLIM principles, instrumentation, and analysis while highlighting the latest developments and biological applications. APPROACH This review covers FLIM principles and theory, including advantages over intensity-based fluorescence measurements. Fundamentals of FLIM instrumentation in time- and frequency-domains are summarized, along with recent developments. Image segmentation and analysis strategies that quantify spatial and molecular features of cellular heterogeneity are reviewed. Finally, representative applications are provided including high-resolution FLIM of cell- and organelle-level molecular changes, use of exogenous and endogenous fluorophores, and imaging protein-protein interactions with Förster resonance energy transfer (FRET). Advantages and limitations of FLIM are also discussed. CONCLUSIONS FLIM is advantageous for probing molecular environments of fluorophores to inform on fluorophore behavior that cannot be elucidated with intensity measurements alone. Development of FLIM technologies, analysis, and applications will further advance biological research and clinical assessments.
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Affiliation(s)
- Rupsa Datta
- Morgridge Institute for Research, Madison, Wisconsin, United States
| | - Tiffany M. Heaster
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Joe T. Sharick
- Morgridge Institute for Research, Madison, Wisconsin, United States
| | - Amani A. Gillette
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Melissa C. Skala
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States
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19
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Poudel C, Mela I, Kaminski CF. High-throughput, multi-parametric, and correlative fluorescence lifetime imaging. Methods Appl Fluoresc 2020; 8:024005. [PMID: 32028271 PMCID: PMC8208541 DOI: 10.1088/2050-6120/ab7364] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 12/18/2019] [Accepted: 02/06/2020] [Indexed: 12/11/2022]
Abstract
In this review, we discuss methods and advancements in fluorescence lifetime imaging microscopy that permit measurements to be performed at faster speed and higher resolution than previously possible. We review fast single-photon timing technologies and the use of parallelized detection schemes to enable high-throughput and high content imaging applications. We appraise different technological implementations of fluorescence lifetime imaging, primarily in the time-domain. We also review combinations of fluorescence lifetime with other imaging modalities to capture multi-dimensional and correlative information from a single sample. Throughout the review, we focus on applications in biomedical research. We conclude with a critical outlook on current challenges and future opportunities in this rapidly developing field.
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Affiliation(s)
- Chetan Poudel
- Department of Chemical Engineering and Biotechnology,
Philippa Fawcett Drive, University of
Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Ioanna Mela
- Department of Chemical Engineering and Biotechnology,
Philippa Fawcett Drive, University of
Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Clemens F Kaminski
- Department of Chemical Engineering and Biotechnology,
Philippa Fawcett Drive, University of
Cambridge, Cambridge CB3 0AS, United
Kingdom
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20
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Wang S, Chacko JV, Sagar AK, Eliceiri KW, Yuan M. Nonparametric empirical Bayesian framework for fluorescence-lifetime imaging microscopy. BIOMEDICAL OPTICS EXPRESS 2019; 10:5497-5517. [PMID: 31799027 PMCID: PMC6865096 DOI: 10.1364/boe.10.005497] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 08/31/2019] [Accepted: 09/29/2019] [Indexed: 05/02/2023]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) is a powerful imaging tool used to study the molecular environment of flurophores. In time domain FLIM, extracting lifetime from fluorophores signals entails fitting data to a decaying exponential distribution function. However, most existing techniques for this purpose need large amounts of photons at each pixel and a long computation time, thus making it difficult to obtain reliable inference in applications requiring either short acquisition or minimal computation time. In this work, we introduce a new nonparametric empirical Bayesian framework for FLIM data analysis (NEB-FLIM), leading to both improved pixel-wise lifetime estimation and a more robust and computationally efficient integral property inference. This framework is developed based on a newly proposed hierarchical statistical model for FLIM data and adopts a novel nonparametric maximum likelihood estimator to estimate the prior distribution. To demonstrate the merit of the proposed framework, we applied it on both simulated and real biological datasets and compared it with previous classical methods on these datasets.
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Affiliation(s)
- Shulei Wang
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jenu V Chacko
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, WI 53706, USA
| | - Abdul K Sagar
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, WI 53706, USA
| | - Kevin W Eliceiri
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, WI 53706, USA
- Morgridge Institute for Research, Madison, WI 53706, USA
| | - Ming Yuan
- Department of Statistics, Columbia University, New York, NY 10027, USA
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21
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Harling M, Alspaugh GR, Andreoni A, Smirnov AV, Penjweini R, Murphy M, Strub MP, Knutson JR. Global analysis and Decay Associated Images (DAI) derived from Fluorescence Lifetime Imaging Microscopy (FLIM). PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2019; 10882:108822A. [PMID: 35125610 PMCID: PMC8813555 DOI: 10.1117/12.2514365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The extraction of fluorophore lifetimes in a biological sample provides useful information about the probe environment that is not readily available from fluorescence intensity alone. Cell membrane potential, pH, concentration of oxygen ([O2]), calcium ([Ca2+]), NADH and other ions and metabolites are all regularly measured by lifetime-based techniques. These measurements provide invaluable knowledge about cell homeostasis, metabolism and communication with the cell environment. Fluorescence lifetime imaging microscopy (FLIM) produces spatial maps with time-correlated single-photon counting (TCSPC) histograms collected and analyzed at each pixel, but traditional TCSPC analysis is often hampered by the low number of photons that can reasonably be collected while maintaining high spatial resolution. More important, traditional analysis fails to employ the spatial linkages within the image. Here, we present a different approach, where we work under the assumption that mixtures of a global set of lifetimes (often only 2 or 3) can describe the entire image. We determine these lifetime components by globally fitting precise decays aggregated over large spatial regions of interest, and then we perform a pixel-by-pixel calculation of decay amplitudes (via simple linear algebra applied to coarser time-windows). This yields accurate amplitude images (Decay Associate Images, DAI) that contain stoichiometric information about the underlying mixtures while retaining single pixel resolution. We collected FLIM data of dye mixtures and bacteria expressing fluorescent proteins with a two-photon microscope system equipped with a commercial single-photon counting card, and we used these data to benchmark the gDAI program.
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Affiliation(s)
- Mitchell Harling
- Laboratory of Advanced Microscopy and Biophotonics, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
| | - Gregory R. Alspaugh
- Laboratory of Advanced Microscopy and Biophotonics, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
| | - Alessio Andreoni
- Laboratory of Advanced Microscopy and Biophotonics, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
| | - Aleksandr V. Smirnov
- Laboratory of Advanced Microscopy and Biophotonics, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
- Biological Imaging Core Facility, National Eye Institute, NIH, Bethesda, MD, USA
| | - Rozhin Penjweini
- Laboratory of Advanced Microscopy and Biophotonics, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
| | - Michael Murphy
- Laboratory of Advanced Microscopy and Biophotonics, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
| | - Marie-Paule Strub
- Laboratory of Structural Biophysics, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
| | - Jay R. Knutson
- Laboratory of Advanced Microscopy and Biophotonics, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
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22
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23
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Sparks H, Kondo H, Hooper S, Munro I, Kennedy G, Dunsby C, French P, Sahai E. Heterogeneity in tumor chromatin-doxorubicin binding revealed by in vivo fluorescence lifetime imaging confocal endomicroscopy. Nat Commun 2018; 9:2662. [PMID: 29985394 PMCID: PMC6037736 DOI: 10.1038/s41467-018-04820-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 05/24/2018] [Indexed: 12/26/2022] Open
Abstract
We present an approach to quantify drug-target engagement using in vivo fluorescence endomicroscopy, validated with in vitro measurements. Doxorubicin binding to chromatin changes the fluorescence lifetime of histone-GFP fusions that we measure in vivo at single-cell resolution using a confocal laparo/endomicroscope. We measure both intra- and inter-tumor heterogeneity in doxorubicin chromatin engagement in a model of peritoneal metastasis of ovarian cancer, revealing striking variation in the efficacy of doxorubicin-chromatin binding depending on intra-peritoneal or intravenous delivery. Further, we observe significant variations in doxorubicin-chromatin binding between different metastases in the same mouse and between different regions of the same metastasis. The quantitative nature of fluorescence lifetime imaging enables direct comparison of drug-target engagement for different drug delivery routes and between in vitro and in vivo experiments. This uncovers different rates of cell killing for the same level of doxorubicin binding in vitro and in vivo.
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Affiliation(s)
- Hugh Sparks
- Tumor Cell Biology Laboratory, The Francis Crick Institute, London, NW1 1AT, UK
- Photonics Group, Physics Department, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Hiroshi Kondo
- Tumor Cell Biology Laboratory, The Francis Crick Institute, London, NW1 1AT, UK
| | - Steven Hooper
- Tumor Cell Biology Laboratory, The Francis Crick Institute, London, NW1 1AT, UK
| | - Ian Munro
- Photonics Group, Physics Department, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Gordon Kennedy
- Photonics Group, Physics Department, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Christopher Dunsby
- Photonics Group, Physics Department, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
| | - Paul French
- Photonics Group, Physics Department, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
| | - Erik Sahai
- Tumor Cell Biology Laboratory, The Francis Crick Institute, London, NW1 1AT, UK.
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Alexandrov Y, Nikolic DS, Dunsby C, French PMW. Quantitative time domain analysis of lifetime-based Förster resonant energy transfer measurements with fluorescent proteins: Static random isotropic fluorophore orientation distributions. JOURNAL OF BIOPHOTONICS 2018; 11:e201700366. [PMID: 29582566 DOI: 10.1002/jbio.201700366] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 03/23/2018] [Indexed: 06/08/2023]
Abstract
Förster resonant energy transfer (FRET) measurements are widely used to obtain information about molecular interactions and conformations through the dependence of FRET efficiency on the proximity of donor and acceptor fluorophores. Fluorescence lifetime measurements can provide quantitative analysis of FRET efficiency and interacting population fraction. Many FRET experiments exploit the highly specific labelling of genetically expressed fluorescent proteins, applicable in live cells and organisms. Unfortunately, the typical assumption of fast randomization of fluorophore orientations in the analysis of fluorescence lifetime-based FRET readouts is not valid for fluorescent proteins due to their slow rotational mobility compared to their upper state lifetime. Here, previous analysis of effectively static isotropic distributions of fluorophore dipoles on FRET measurements is incorporated into new software for fitting donor emission decay profiles. Calculated FRET parameters, including molar population fractions, are compared for the analysis of simulated and experimental FRET data under the assumption of static and dynamic fluorophores and the intermediate regimes between fully dynamic and static fluorophores, and mixtures within FRET pairs, is explored. Finally, a method to correct the artefact resulting from fitting the emission from static FRET pairs with isotropic angular distributions to the (incorrect) typically assumed dynamic FRET decay model is presented.
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Affiliation(s)
- Yuriy Alexandrov
- Photonics Group, Department of Physics, Imperial College London, London, UK
- Light Microscopy, Francis Crick Institute, London, UK
| | - Dino S Nikolic
- Quantum Physics and Information Technology Group, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Christopher Dunsby
- Photonics Group, Department of Physics, Imperial College London, London, UK
- Light Microscopy, Francis Crick Institute, London, UK
- Centre for Pathology, Imperial College London, London, UK
| | - Paul M W French
- Photonics Group, Department of Physics, Imperial College London, London, UK
- Light Microscopy, Francis Crick Institute, London, UK
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Baumann T, Schmitt FJ, Pelzer A, Spiering VJ, Freiherr von Sass GJ, Friedrich T, Budisa N. Engineering 'Golden' Fluorescence by Selective Pressure Incorporation of Non-canonical Amino Acids and Protein Analysis by Mass Spectrometry and Fluorescence. J Vis Exp 2018. [PMID: 29757279 PMCID: PMC6100899 DOI: 10.3791/57017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Fluorescent proteins are fundamental tools for the life sciences, in particular for fluorescence microscopy of living cells. While wild-type and engineered variants of the green fluorescent protein from Aequorea victoria (avGFP) as well as homologs from other species already cover large parts of the optical spectrum, a spectral gap remains in the near-infrared region, for which avGFP-based fluorophores are not available. Red-shifted fluorescent protein (FP) variants would substantially expand the toolkit for spectral unmixing of multiple molecular species, but the naturally occurring red-shifted FPs derived from corals or sea anemones have lower fluorescence quantum yield and inferior photo-stability compared to the avGFP variants. Further manipulation and possible expansion of the chromophore's conjugated system towards the far-red spectral region is also limited by the repertoire of 20 canonical amino acids prescribed by the genetic code. To overcome these limitations, synthetic biology can achieve further spectral red-shifting via insertion of non-canonical amino acids into the chromophore triad. We describe the application of SPI to engineer avGFP variants with novel spectral properties. Protein expression is performed in a tryptophan-auxotrophic E. coli strain and by supplementing growth media with suitable indole precursors. Inside the cells, these precursors are converted to the corresponding tryptophan analogs and incorporated into proteins by the ribosomal machinery in response to UGG codons. The replacement of Trp-66 in the enhanced "cyan" variant of avGFP (ECFP) by an electron-donating 4-aminotryptophan results in GdFP featuring a 108 nm Stokes shift and a strongly red-shifted emission maximum (574 nm), while being thermodynamically more stable than its predecessor ECFP. Residue-specific incorporation of the non-canonical amino acid is analyzed by mass spectrometry. The spectroscopic properties of GdFP are characterized by time-resolved fluorescence spectroscopy as one of the valuable applications of genetically encoded FPs in life sciences.
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Affiliation(s)
- Tobias Baumann
- Institute of Chemistry L 1, Department of Biocatalysis, Technical University of Berlin
| | - Franz-Josef Schmitt
- Institute of Chemistry PC 14, Department of Bioenergetics, Technical University of Berlin
| | - Almut Pelzer
- Institute of Chemistry L 1, Department of Biocatalysis, Technical University of Berlin
| | - Vivian Jeanette Spiering
- Institute of Chemistry TC 7, Department of Physical Chemistry/Molecular Material Sciences, Technical University of Berlin
| | | | - Thomas Friedrich
- Institute of Chemistry PC 14, Department of Bioenergetics, Technical University of Berlin;
| | - Nediljko Budisa
- Institute of Chemistry L 1, Department of Biocatalysis, Technical University of Berlin
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26
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Towards in-vivo assessment of fluorescence lifetime: imaging using time-gated intensified CCD camera. Biocybern Biomed Eng 2018. [DOI: 10.1016/j.bbe.2018.08.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Dysli C, Wolf S, Berezin MY, Sauer L, Hammer M, Zinkernagel MS. Fluorescence lifetime imaging ophthalmoscopy. Prog Retin Eye Res 2017; 60:120-143. [PMID: 28673870 PMCID: PMC7396320 DOI: 10.1016/j.preteyeres.2017.06.005] [Citation(s) in RCA: 126] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 06/19/2017] [Accepted: 06/29/2017] [Indexed: 12/17/2022]
Abstract
Imaging techniques based on retinal autofluorescence have found broad applications in ophthalmology because they are extremely sensitive and noninvasive. Conventional fundus autofluorescence imaging measures fluorescence intensity of endogenous retinal fluorophores. It mainly derives its signal from lipofuscin at the level of the retinal pigment epithelium. Fundus autofluorescence, however, can not only be characterized by the spatial distribution of the fluorescence intensity or emission spectrum, but also by a characteristic fluorescence lifetime function. The fluorescence lifetime is the average amount of time a fluorophore remains in the excited state following excitation. Fluorescence lifetime imaging ophthalmoscopy (FLIO) is an emerging imaging modality for in vivo measurement of lifetimes of endogenous retinal fluorophores. Recent reports in this field have contributed to our understanding of the pathophysiology of various macular and retinal diseases. Within this review, the basic concept of fluorescence lifetime imaging is provided. It includes technical background information and correlation with in vitro measurements of individual retinal metabolites. In a second part, clinical applications of fluorescence lifetime imaging and fluorescence lifetime features of selected retinal diseases such as Stargardt disease, age-related macular degeneration, choroideremia, central serous chorioretinopathy, macular holes, diabetic retinopathy, and retinal artery occlusion are discussed. Potential areas of use for fluorescence lifetime imaging ophthalmoscopy will be outlined at the end of this review.
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Affiliation(s)
- Chantal Dysli
- Department of Ophthalmology and Department of Clinical Research, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Sebastian Wolf
- Department of Ophthalmology and Department of Clinical Research, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Mikhail Y Berezin
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Lydia Sauer
- Department of Ophthalmology, University Hospital Jena, Jena, Germany
| | - Martin Hammer
- Department of Ophthalmology, University Hospital Jena, Jena, Germany
| | - Martin S Zinkernagel
- Department of Ophthalmology and Department of Clinical Research, Inselspital, Bern University Hospital, University of Bern, Switzerland.
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28
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Silberberg M, Grecco HE. pawFLIM: reducing bias and uncertainty to enable lower photon count in FLIM experiments. Methods Appl Fluoresc 2017. [DOI: 10.1088/2050-6120/aa72ab] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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29
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Görlitz F, Kelly DJ, Warren SC, Alibhai D, West L, Kumar S, Alexandrov Y, Munro I, Garcia E, McGinty J, Talbot C, Serwa RA, Thinon E, da Paola V, Murray EJ, Stuhmeier F, Neil MAA, Tate EW, Dunsby C, French PMW. Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy. J Vis Exp 2017:55119. [PMID: 28190060 PMCID: PMC5352269 DOI: 10.3791/55119] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
We present an open source high content analysis instrument utilizing automated fluorescence lifetime imaging (FLIM) for assaying protein interactions using Förster resonance energy transfer (FRET) based readouts of fixed or live cells in multiwell plates. This provides a means to screen for cell signaling processes read out using intramolecular FRET biosensors or intermolecular FRET of protein interactions such as oligomerization or heterodimerization, which can be used to identify binding partners. We describe here the functionality of this automated multiwell plate FLIM instrumentation and present exemplar data from our studies of HIV Gag protein oligomerization and a time course of a FRET biosensor in live cells. A detailed description of the practical implementation is then provided with reference to a list of hardware components and a description of the open source data acquisition software written in µManager. The application of FLIMfit, an open source MATLAB-based client for the OMERO platform, to analyze arrays of multiwell plate FLIM data is also presented. The protocols for imaging fixed and live cells are outlined and a demonstration of an automated multiwell plate FLIM experiment using cells expressing fluorescent protein-based FRET constructs is presented. This is complemented by a walk-through of the data analysis for this specific FLIM FRET data set.
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Affiliation(s)
- Frederik Görlitz
- Photonics Group, Department of Physics, Imperial College London;
| | - Douglas J Kelly
- Photonics Group, Department of Physics, Imperial College London
| | - Sean C Warren
- Photonics Group, Department of Physics, Imperial College London
| | - Dominic Alibhai
- Institute for Chemical Biology, Department of Chemistry, Imperial College London
| | - Lucien West
- MRC Clinical Sciences Centre, Hammersmith Hospital
| | - Sunil Kumar
- Photonics Group, Department of Physics, Imperial College London
| | | | - Ian Munro
- Photonics Group, Department of Physics, Imperial College London
| | - Edwin Garcia
- Photonics Group, Department of Physics, Imperial College London
| | - James McGinty
- Photonics Group, Department of Physics, Imperial College London
| | - Clifford Talbot
- Photonics Group, Department of Physics, Imperial College London
| | - Remigiusz A Serwa
- Chemical Biology Section, Department of Chemistry, Imperial College London
| | - Emmanuelle Thinon
- Chemical Biology Section, Department of Chemistry, Imperial College London
| | | | | | - Frank Stuhmeier
- Pfizer Global Research and Development, Pfizer Limited, Sandwich, Kent, UK
| | - Mark A A Neil
- Photonics Group, Department of Physics, Imperial College London
| | - Edward W Tate
- Chemical Biology Section, Department of Chemistry, Imperial College London
| | - Christopher Dunsby
- Photonics Group, Department of Physics, Imperial College London; Centre for Histopathology, Imperial College London
| | - Paul M W French
- Photonics Group, Department of Physics, Imperial College London
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30
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Zhang Y, Cuyt A, Lee WS, Lo Bianco G, Wu G, Chen Y, Li DDU. Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection. OPTICS EXPRESS 2016; 24:26777-26791. [PMID: 27857408 DOI: 10.1364/oe.24.026777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Analyzing large fluorescence lifetime imaging (FLIM) data is becoming overwhelming; the latest FLIM systems easily produce massive amounts of data, making an efficient analysis more challenging than ever. In this paper we propose the combination of a custom-fit variable projection method, with a Laguerre expansion based deconvolution, to analyze bi-exponential data obtained from time-domain FLIM systems. Unlike nonlinear least squares methods, which require a suitable initial guess from an experienced researcher, the new method is free from manual interventions and hence can support automated analysis. Monte Carlo simulations are carried out on synthesized FLIM data to demonstrate the performance compared to other approaches. The performance is also illustrated on real-life FLIM data obtained from the study of autofluorescence of daisy pollen and the endocytosis of gold nanorods (GNRs) in living cells. In the latter, the fluorescence lifetimes of the GNRs are much shorter than the full width at half maximum of the instrument response function. Overall, our proposed method contains simple steps and shows great promise in realising automated FLIM analysis of large data sets.
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31
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Yu H, Saleeb R, Dalgarno P, Day-Uei Li D. Estimation of Fluorescence Lifetimes Via Rotational Invariance Techniques. IEEE Trans Biomed Eng 2016; 63:1292-300. [DOI: 10.1109/tbme.2015.2491364] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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32
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Campos-Delgado DU, Navarro OG, Arce-Santana ER, Walsh AJ, Skala MC, Jo JA. Deconvolution of fluorescence lifetime imaging microscopy by a library of exponentials. OPTICS EXPRESS 2015; 23:23748-67. [PMID: 26368470 PMCID: PMC4646519 DOI: 10.1364/oe.23.023748] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Revised: 08/08/2015] [Accepted: 08/22/2015] [Indexed: 05/18/2023]
Abstract
Fluorescence lifetime microscopy imaging (FLIM) is an optic technique that allows a quantitative characterization of the fluorescent components of a sample. However, for an accurate interpretation of FLIM, an initial processing step is required to deconvolve the instrument response of the system from the measured fluorescence decays. In this paper, we present a novel strategy for the deconvolution of FLIM data based on a library of exponentials. Our approach searches for the scaling coefficients of the library by non-negative least squares approximations plus Thikonov/l2 or l1 regularization terms. The parameters of the library are given by the lower and upper bounds in the characteristic lifetimes of the exponential functions and the size of the library, where we observe that this last variable is not a limiting factor in the resulting fitting accuracy. We compare our proposal to nonlinear least squares and global non-linear least squares estimations with a multi-exponential model, and also to constrained Laguerre-base expansions, where we visualize an advantage of our proposal based on Thikonov/l2 regularization in terms of estimation accuracy, computational time, and tuning strategy. Our validation strategy considers synthetic datasets subject to both shot and Gaussian noise and samples with different lifetime maps, and experimental FLIM data of ex-vivo atherosclerotic plaques and human breast cancer cells.
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Affiliation(s)
| | | | - E. R. Arce-Santana
- Facultad de Ciencias, Universidad Autonoma de San Luis Potosi, SLP, Mexico
| | - Alex J. Walsh
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee,
USA
| | - Melissa C. Skala
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee,
USA
| | - Javier A. Jo
- Department of Biomedical Engineering, Texas A& M University, College Station, Texas,
USA
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33
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Campos-Delgado DU, Gutierrez-Navarro O, Arce-Santana ER, Skala MC, Walsh AJ, Jo JA. Blind deconvolution estimation of fluorescence measurements through quadratic programming. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:075010. [PMID: 26222960 PMCID: PMC5998001 DOI: 10.1117/1.jbo.20.7.075010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Accepted: 06/29/2015] [Indexed: 05/22/2023]
Abstract
Time-deconvolution of the instrument response from fluorescence lifetime imaging microscopy (FLIM) data is usually necessary for accurate fluorescence lifetime estimation. In many applications, however, the instrument response is not available. In such cases, a blind deconvolution approach is required. An iterative methodology is proposed to address the blind deconvolution problem departing from a dataset of FLIM measurements. A linear combination of a base conformed by Laguerre functions models the fluorescence impulse response of the sample at each spatial point in our formulation. Our blind deconvolution estimation (BDE) algorithm is formulated as a quadratic approximation problem, where the decision variables are the samples of the instrument response and the scaling coefficients of the basis functions. In the approximation cost function, there is a bilinear dependence on the decision variables. Hence, due to the nonlinear nature of the estimation process, an alternating least-squares scheme iteratively solves the approximation problem. Our proposal searches for the samples of the instrument response with a global perspective, and the scaling coefficients of the basis functions locally at each spatial point. First, the iterative methodology relies on a least-squares solution for the instrument response, and quadratic programming for the scaling coefficients applied just to a subset of the measured fluorescence decays to initially estimate the instrument response to speed up the convergence. After convergence, the final stage computes the fluorescence impulse response at all spatial points. A comprehensive validation stage considers synthetic and experimental FLIM datasets of ex vivo atherosclerotic plaques and human breast cancer cell samples that highlight the advantages of the proposed BDE algorithm under different noise and initial conditions in the iterative scheme and parameters of the proposal.
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Affiliation(s)
- Daniel U. Campos-Delgado
- Universidad Autonoma de San Luis Potosi, Facultad de Ciencias, San Luis Potosi C.P 78290, Mexico
- Address all correspondence to: Daniel U. Campos-Delgado, E-mail:
| | - Omar Gutierrez-Navarro
- Universidad Autonoma de San Luis Potosi, Facultad de Ciencias, San Luis Potosi C.P 78290, Mexico
| | - Edgar R. Arce-Santana
- Universidad Autonoma de San Luis Potosi, Facultad de Ciencias, San Luis Potosi C.P 78290, Mexico
| | - Melissa C. Skala
- Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States
| | - Alex J. Walsh
- Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States
| | - Javier A. Jo
- Texas A&M University, Department of Biomedical Engineering, College Station, Texas, United States
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34
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Nedbal J, Visitkul V, Ortiz-Zapater E, Weitsman G, Chana P, Matthews DR, Ng T, Ameer-Beg SM. Time-domain microfluidic fluorescence lifetime flow cytometry for high-throughput Förster resonance energy transfer screening. Cytometry A 2015; 87:104-18. [PMID: 25523156 PMCID: PMC4440390 DOI: 10.1002/cyto.a.22616] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2014] [Revised: 11/12/2014] [Accepted: 12/03/2014] [Indexed: 01/22/2023]
Abstract
Sensing ion or ligand concentrations, physico-chemical conditions, and molecular dimerization or conformation change is possible by assays involving fluorescent lifetime imaging. The inherent low throughput of imaging impedes rigorous statistical data analysis on large cell numbers. We address this limitation by developing a fluorescence lifetime-measuring flow cytometer for fast fluorescence lifetime quantification in living or fixed cell populations. The instrument combines a time-correlated single photon counting epifluorescent microscope with microfluidics cell-handling system. The associated computer software performs burst integrated fluorescence lifetime analysis to assign fluorescence lifetime, intensity, and burst duration to each passing cell. The maximum safe throughput of the instrument reaches 3,000 particles per minute. Living cells expressing spectroscopic rulers of varying peptide lengths were distinguishable by Förster resonant energy transfer measured by donor fluorescence lifetime. An epidermal growth factor (EGF)-stimulation assay demonstrated the technique's capacity to selectively quantify EGF receptor phosphorylation in cells, which was impossible by measuring sensitized emission on a standard flow cytometer. Dual-color fluorescence lifetime detection and cell-specific chemical environment sensing were exemplified using di-4-ANEPPDHQ, a lipophilic environmentally sensitive dye that exhibits changes in its fluorescence lifetime as a function of membrane lipid order. To our knowledge, this instrument opens new applications in flow cytometry which were unavailable due to technological limitations of previously reported fluorescent lifetime flow cytometers. The presented technique is sensitive to lifetimes of most popular fluorophores in the 0.5-5 ns range including fluorescent proteins and is capable of detecting multi-exponential fluorescence lifetime decays. This instrument vastly enhances the throughput of experiments involving fluorescence lifetime measurements, thereby providing statistically significant quantitative data for analysis of large cell populations. © 2014 International Society for Advancement of Cytometry.
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Affiliation(s)
- Jakub Nedbal
- Division of Cancer Studies, King's College LondonUnited Kingdom
- Randall Division of Cell and Molecular Biophysics, King's College LondonUnited Kingdom
| | - Viput Visitkul
- Randall Division of Cell and Molecular Biophysics, King's College LondonUnited Kingdom
| | - Elena Ortiz-Zapater
- Division of Asthma, Allergy & Lung Biology, King's College LondonUnited Kingdom
| | | | - Prabhjoat Chana
- Immune Monitoring Laboratory, NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College LondonUnited Kingdom
| | - Daniel R Matthews
- Queensland Brain Institute, The University of QueenslandSt Lucia, Australia
| | - Tony Ng
- Division of Cancer Studies, King's College LondonUnited Kingdom
- Randall Division of Cell and Molecular Biophysics, King's College LondonUnited Kingdom
- UCL Cancer Institute, University College LondonUnited Kingdom
| | - Simon M Ameer-Beg
- Division of Cancer Studies, King's College LondonUnited Kingdom
- Randall Division of Cell and Molecular Biophysics, King's College LondonUnited Kingdom
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35
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Sun Y, Periasamy A. Localizing protein-protein interactions in living cells using fluorescence lifetime imaging microscopy. Methods Mol Biol 2015; 1251:83-107. [PMID: 25391796 DOI: 10.1007/978-1-4939-2080-8_6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
In the past decade, advances in fluorescence lifetime imaging have extensively applied in the life sciences, from fundamental biological investigations to advanced clinical diagnosis. Fluorescence lifetime imaging microscopy (FLIM) is now routinely used in the biological sciences to monitor dynamic signaling events inside living cells, e.g., Protein-Protein interactions. In this chapter, we describe the calibration of both time-correlated single-photon counting (TCSPC) and frequency domain (FD) FLIM systems and the acquisition and analysis of FLIM-FRET data for investigating Protein-Protein interactions in living cells.
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Affiliation(s)
- Yuansheng Sun
- W.M. Keck Center for Cellular Imaging, Biology, University of Virginia, B005 Physical and Life Sciences Building, White Head Road, Charlottesville, VA, 22904, USA
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36
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37
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Seok J, Kim J. Alternating minimization of the negative Poisson likelihood function for the global analysis of fluorescence lifetime imaging microscopy data. OPTICS EXPRESS 2014; 22:24977-24987. [PMID: 25401531 DOI: 10.1364/oe.22.024977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
We investigate a fast optimization method for determining the minimizer of the negative Poisson likelihood function for the global analysis of fluorescence lifetime microscopy. Using the alternating optimization strategy, we iteratively solve a non-convex optimization problem to estimate the lifetime parameters and a convex optimization problem to estimate the concentration parameters. We effectively determine the minimizer of the non-convex optimization using the Gauss-Newton method and that of the convex optimization by applying the optimization transfer strategy, which is based on the convex inequality. In the simulation studies, the proposed method was able to determine the minimizer of the objective function significantly faster than the conventional simultaneous optimization method.
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38
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Abdul Rahim NA, Pelet S, Mofrad MRK, So PTC, Kamm RD. Quantifying intracellular protein binding thermodynamics during mechanotransduction based on FRET spectroscopy. Methods 2014; 66:208-21. [PMID: 24184188 PMCID: PMC4094350 DOI: 10.1016/j.ymeth.2013.10.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Revised: 09/24/2013] [Accepted: 10/12/2013] [Indexed: 11/29/2022] Open
Abstract
Mechanical force modulates myriad cellular functions including migration, alignment, proliferation, and gene transcription. Mechanotransduction, the transmission of mechanical forces and its translation into biochemical signals, may be mediated by force induced protein conformation changes, subsequently modulating protein signaling. For the paxillin and focal adhesion kinase interaction, we demonstrate that force-induced changes in protein complex conformation, dissociation constant, and binding Gibbs free energy can be quantified by lifetime-resolved fluorescence energy transfer microscopy combined with intensity imaging calibrated by fluorescence correlation spectroscopy. Comparison with in vitro data shows that this interaction is allosteric in vivo. Further, spatially resolved imaging and inhibitor assays show that this protein interaction and its mechano-sensitivity are equal in the cytosol and in the focal adhesions complexes indicating that the mechano-sensitivity of this interaction must be mediated by soluble factors but not based on protein tyrosine phosphorylation.
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Affiliation(s)
- Nur Aida Abdul Rahim
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Mass Ave., Cambridge, MA 02139, United states
| | - Serge Pelet
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Mass Ave., Cambridge, MA 02139, United States; Department of Fundamental Microbiology, University of Lausanne, Biophore Building, Room 2406, CH-1015 Lausanne, Switzerland
| | - Mohammad R K Mofrad
- Department of Bioengineering, University of California Berkeley, 306 Stanley Hall MC #1762, Berkeley, CA 94720-1762, United States
| | - Peter T C So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Mass Ave., Cambridge, MA 02139, United states; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Mass Ave., Cambridge, MA 02139, United States; Laser Biomedical Research Center, A NIH NIBIB Research Resource, Massachusetts Institute of Technology, 77 Mass Ave., Cambridge, MA 02139, United States.
| | - Roger D Kamm
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Mass Ave., Cambridge, MA 02139, United states; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Mass Ave., Cambridge, MA 02139, United States
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39
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Kim J, Seok J, Lee H, Lee M. Penalized maximum likelihood estimation of lifetime and amplitude images from multi-exponentially decaying fluorescence signals. OPTICS EXPRESS 2013; 21:20240-53. [PMID: 24105569 DOI: 10.1364/oe.21.020240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
We investigated the penalized maximum likelihood estimation of lifetime and amplitude images for fluorescence lifetime imaging microscopy. The proposed method penalizes large variations in the lifetimes and amplitudes in the spatial domain to reduces noise in the images, which is a serious problem in the conventional maximum likelihood estimation method. For an effective optimization of the objective function, we applied an optimization transfer method that is based on a separable surrogate function. Simulations show that the proposed method outperforms the conventional MLE method in terms of the estimation accuracy, and the proposed method yielded less noisy images in real experiments.
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40
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Warren SC, Margineanu A, Alibhai D, Kelly DJ, Talbot C, Alexandrov Y, Munro I, Katan M, Dunsby C, French PMW. Rapid global fitting of large fluorescence lifetime imaging microscopy datasets. PLoS One 2013; 8:e70687. [PMID: 23940626 PMCID: PMC3734241 DOI: 10.1371/journal.pone.0070687] [Citation(s) in RCA: 151] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2013] [Accepted: 06/20/2013] [Indexed: 12/18/2022] Open
Abstract
Fluorescence lifetime imaging (FLIM) is widely applied to obtain quantitative information from fluorescence signals, particularly using Förster Resonant Energy Transfer (FRET) measurements to map, for example, protein-protein interactions. Extracting FRET efficiencies or population fractions typically entails fitting data to complex fluorescence decay models but such experiments are frequently photon constrained, particularly for live cell or in vivo imaging, and this leads to unacceptable errors when analysing data on a pixel-wise basis. Lifetimes and population fractions may, however, be more robustly extracted using global analysis to simultaneously fit the fluorescence decay data of all pixels in an image or dataset to a multi-exponential model under the assumption that the lifetime components are invariant across the image (dataset). This approach is often considered to be prohibitively slow and/or computationally expensive but we present here a computationally efficient global analysis algorithm for the analysis of time-correlated single photon counting (TCSPC) or time-gated FLIM data based on variable projection. It makes efficient use of both computer processor and memory resources, requiring less than a minute to analyse time series and multiwell plate datasets with hundreds of FLIM images on standard personal computers. This lifetime analysis takes account of repetitive excitation, including fluorescence photons excited by earlier pulses contributing to the fit, and is able to accommodate time-varying backgrounds and instrument response functions. We demonstrate that this global approach allows us to readily fit time-resolved fluorescence data to complex models including a four-exponential model of a FRET system, for which the FRET efficiencies of the two species of a bi-exponential donor are linked, and polarisation-resolved lifetime data, where a fluorescence intensity and bi-exponential anisotropy decay model is applied to the analysis of live cell homo-FRET data. A software package implementing this algorithm, FLIMfit, is available under an open source licence through the Open Microscopy Environment.
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Affiliation(s)
- Sean C Warren
- Department of Chemistry, Institute for Chemical Biology, Imperial College London, London, United Kingdom.
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41
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Alibhai D, Kelly DJ, Warren S, Kumar S, Margineau A, Serwa RA, Thinon E, Alexandrov Y, Murray EJ, Stuhmeier F, Tate EW, Neil MAA, Dunsby C, French PMW. Automated fluorescence lifetime imaging plate reader and its application to Förster resonant energy transfer readout of Gag protein aggregation. JOURNAL OF BIOPHOTONICS 2013. [PMID: 23184449 DOI: 10.1002/jbio.v6.5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Fluorescence lifetime measurements can provide quantitative readouts of local fluorophore environment and can be applied to biomolecular interactions via Förster resonant energy transfer (FRET). Fluorescence lifetime imaging (FLIM) can therefore provide a high content analysis (HCA) modality to map protein-protein interactions (PPIs) with applications in drug discovery, systems biology and basic research. We present here an automated multiwell plate reader able to perform rapid unsupervised optically sectioned FLIM of fixed and live biological samples and illustrate its potential to assay PPIs through application to Gag protein aggregation during the HIV life cycle. We demonstrate both hetero-FRET and homo-FRET readouts of protein aggregation and report the first quantitative evaluation of a FLIM HCA assay by generating dose response curves through addition of an inhibitor of Gag myristoylation. Z' factors exceeding 0.6 are realised for this FLIM FRET assay.
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Affiliation(s)
- Dominic Alibhai
- Institute of Chemical Biology, Department of Chemistry, Imperial College London, South Kensington Campus, London, UK
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42
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Alibhai D, Kelly DJ, Warren S, Kumar S, Margineau A, Serwa RA, Thinon E, Alexandrov Y, Murray EJ, Stuhmeier F, Tate EW, Neil MAA, Dunsby C, French PMW. Automated fluorescence lifetime imaging plate reader and its application to Förster resonant energy transfer readout of Gag protein aggregation. JOURNAL OF BIOPHOTONICS 2013; 6:398-408. [PMID: 23184449 PMCID: PMC3660788 DOI: 10.1002/jbio.201200185] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2012] [Revised: 10/05/2012] [Accepted: 10/14/2012] [Indexed: 05/29/2023]
Abstract
Fluorescence lifetime measurements can provide quantitative readouts of local fluorophore environment and can be applied to biomolecular interactions via Förster resonant energy transfer (FRET). Fluorescence lifetime imaging (FLIM) can therefore provide a high content analysis (HCA) modality to map protein-protein interactions (PPIs) with applications in drug discovery, systems biology and basic research. We present here an automated multiwell plate reader able to perform rapid unsupervised optically sectioned FLIM of fixed and live biological samples and illustrate its potential to assay PPIs through application to Gag protein aggregation during the HIV life cycle. We demonstrate both hetero-FRET and homo-FRET readouts of protein aggregation and report the first quantitative evaluation of a FLIM HCA assay by generating dose response curves through addition of an inhibitor of Gag myristoylation. Z' factors exceeding 0.6 are realised for this FLIM FRET assay.
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Affiliation(s)
- Dominic Alibhai
- Institute of Chemical Biology, Department of Chemistry, Imperial College LondonSouth Kensington Campus, London, SW7 2A, UK
| | - Douglas J Kelly
- Institute of Chemical Biology, Department of Chemistry, Imperial College LondonSouth Kensington Campus, London, SW7 2A, UK
| | - Sean Warren
- Institute of Chemical Biology, Department of Chemistry, Imperial College LondonSouth Kensington Campus, London, SW7 2A, UK
| | - Sunil Kumar
- Photonics Group, Department of Physics, Imperial College LondonSouth Kensington Campus, London, SW7 2AZ, UK
| | - Anca Margineau
- Photonics Group, Department of Physics, Imperial College LondonSouth Kensington Campus, London, SW7 2AZ, UK
| | - Remigiusz A Serwa
- Department of Chemistry, Imperial College LondonSouth Kensington Campus, London, SW7 2AZ, UK
| | - Emmanuelle Thinon
- Department of Chemistry, Imperial College LondonSouth Kensington Campus, London, SW7 2AZ, UK
| | - Yuriy Alexandrov
- Photonics Group, Department of Physics, Imperial College LondonSouth Kensington Campus, London, SW7 2AZ, UK
| | | | - Frank Stuhmeier
- Pfizer Worldwide Research and DevelopmentPfizer Limited, Sandwich, Kent, CT13 9NJ, UK
| | - Edward W Tate
- Department of Chemistry, Imperial College LondonSouth Kensington Campus, London, SW7 2AZ, UK
| | - Mark A A Neil
- Photonics Group, Department of Physics, Imperial College LondonSouth Kensington Campus, London, SW7 2AZ, UK
| | - Chris Dunsby
- Photonics Group, Department of Physics, Imperial College LondonSouth Kensington Campus, London, SW7 2AZ, UK
- Centre for Histopathology, Imperial College LondonDu Cane Rd, London, UK
| | - Paul M W French
- Photonics Group, Department of Physics, Imperial College LondonSouth Kensington Campus, London, SW7 2AZ, UK
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Kim J, Seok J. Statistical properties of amplitude and decay parameter estimators for fluorescence lifetime imaging. OPTICS EXPRESS 2013; 21:6061-6075. [PMID: 23482174 DOI: 10.1364/oe.21.006061] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
We analyze the statistical properties of the maximum likelihood estimator, least squares estimator, and Pearson's χ(2)-based and Neyman's χ(2)-based estimators for the estimation of decay constants and amplitudes for fluorescence lifetime imaging. Our analysis is based on the linearization of the gradient of the objective functions around true parameters. The analysis shows that only the maximum likelihood estimator based on the Poisson likelihood function yields unbiased and efficient estimation. All other estimators yield either biased or inefficient estimations. We validate our analysis by using simulations.
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Affiliation(s)
- Jeongtae Kim
- Department of Electronics Engineering ,EwhaWomans University, 11-1 Daehyun-Dong, Seodaemum-Gu, Seoul, South Korea.
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44
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Kim G, Kim GH, Ahn CK, Yoo Y, Cho BK. Mid-infrared lifetime imaging for viability evaluation of lettuce seeds based on time-dependent thermal decay characterization. SENSORS (BASEL, SWITZERLAND) 2013; 13:2986-96. [PMID: 23529120 PMCID: PMC3658726 DOI: 10.3390/s130302986] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2013] [Revised: 02/25/2013] [Accepted: 02/27/2013] [Indexed: 11/17/2022]
Abstract
An infrared lifetime thermal imaging technique for the measurement of lettuce seed viability was evaluated. Thermal emission signals from mid-infrared images of healthy seeds and seeds aged for 24, 48, and 72 h were obtained and reconstructed using regression analysis. The emission signals were fitted with a two-term exponential model that had two amplitudes and two time variables as lifetime parameters. The lifetime thermal decay parameters were significantly different for seeds with different aging times. Single-seed viability was visualized using thermal lifetime images constructed from the calculated lifetime parameter values. The time-dependent thermal signal decay characteristics, along with the decay amplitude and delay time images, can be used to distinguish aged lettuce seeds from normal seeds.
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Affiliation(s)
- Ghiseok Kim
- Center for Analytical Instrumentation Development, Korea Basic Science Institute, 169-148 Gwahak-ro, Yuseong-gu, 305-806 Daejeon, Korea; E-Mails: (G.K.); (G.H.K.)
| | - Geon Hee Kim
- Center for Analytical Instrumentation Development, Korea Basic Science Institute, 169-148 Gwahak-ro, Yuseong-gu, 305-806 Daejeon, Korea; E-Mails: (G.K.); (G.H.K.)
| | - Chi-Kook Ahn
- Department of Biosystems Machinery Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, 305-764 Daejeon, Korea; E-Mail:
| | - Yoonkyu Yoo
- Marine Transportation Research Division, Korea Institute of Ocean Science and Technology, 321312 Beon-gil, Yuseong-daero, Yuseong-gu, 305-343 Daejeon, Korea; E-Mail:
| | - Byoung-Kwan Cho
- Department of Biosystems Machinery Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, 305-764 Daejeon, Korea; E-Mail:
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Choi H, Tzeranis DS, Cha JW, Clémenceau P, de Jong SJG, van Geest LK, Moon JH, Yannas IV, So PTC. 3D-resolved fluorescence and phosphorescence lifetime imaging using temporal focusing wide-field two-photon excitation. OPTICS EXPRESS 2012. [PMID: 23187477 PMCID: PMC3601594 DOI: 10.1364/oe.20.026219] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Fluorescence and phosphorescence lifetime imaging are powerful techniques for studying intracellular protein interactions and for diagnosing tissue pathophysiology. While lifetime-resolved microscopy has long been in the repertoire of the biophotonics community, current implementations fall short in terms of simultaneously providing 3D resolution, high throughput, and good tissue penetration. This report describes a new highly efficient lifetime-resolved imaging method that combines temporal focusing wide-field multiphoton excitation and simultaneous acquisition of lifetime information in frequency domain using a nanosecond gated imager from a 3D-resolved plane. This approach is scalable allowing fast volumetric imaging limited only by the available laser peak power. The accuracy and performance of the proposed method is demonstrated in several imaging studies important for understanding peripheral nerve regeneration processes. Most importantly, the parallelism of this approach may enhance the imaging speed of long lifetime processes such as phosphorescence by several orders of magnitude.
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Affiliation(s)
- Heejin Choi
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02193,
USA
| | - Dimitrios S. Tzeranis
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02193,
USA
| | - Jae Won Cha
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02193,
USA
| | | | | | | | - Joong Ho Moon
- Department of Chemistry and Biochemistry, Florida International University, Miami, FL 33199,
USA
| | - Ioannis V. Yannas
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02193,
USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02193,
USA
| | - Peter T. C. So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02193,
USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02193,
USA
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA 20139,
USA
- BioSystems and Micromechanics IRG, Singapore-MIT Alliance for Research and Technology (SMART) Centre, Singapore 138602,
Singapore
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Adbul Rahim NA, Pelet S, Kamm RD, So PTC. Methodological considerations for global analysis of cellular FLIM/FRET measurements. JOURNAL OF BIOMEDICAL OPTICS 2012; 17:026013. [PMID: 22463045 PMCID: PMC3382354 DOI: 10.1117/1.jbo.17.2.026013] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2011] [Revised: 12/18/2011] [Accepted: 12/27/2011] [Indexed: 05/29/2023]
Abstract
Global algorithms can improve the analysis of fluorescence energy transfer (FRET) measurement based on fluorescence lifetime microscopy. However, global analysis of FRET data is also susceptible to experimental artifacts. This work examines several common artifacts and suggests remedial experimental protocols. Specifically, we examined the accuracy of different methods for instrument response extraction and propose an adaptive method based on the mean lifetime of fluorescent proteins. We further examined the effects of image segmentation and a priori constraints on the accuracy of lifetime extraction. Methods to test the applicability of global analysis on cellular data are proposed and demonstrated. The accuracy of global fitting degrades with lower photon count. By systematically tracking the effect of the minimum photon count on lifetime and FRET prefactors when carrying out global analysis, we demonstrate a correction procedure to recover the correct FRET parameters, allowing us to obtain protein interaction information even in dim cellular regions with photon counts as low as 100 per decay curve.
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Affiliation(s)
- Nur Aida Adbul Rahim
- Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
| | - Serge Pelet
- Massachusetts Institute of Technology, Department of Biological Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
| | - Roger D. Kamm
- Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
- Massachusetts Institute of Technology, Department of Biological Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
| | - Peter T. C. So
- Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
- Massachusetts Institute of Technology, Department of Biological Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
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47
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Red to far-red multispectral fluorescence image fusion for detection of fecal contamination on apples. J FOOD ENG 2012. [DOI: 10.1016/j.jfoodeng.2011.08.008] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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48
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Colyer RA, Siegmund OHW, Tremsin AS, Vallerga JV, Weiss S, Michalet X. Phasor imaging with a widefield photon-counting detector. JOURNAL OF BIOMEDICAL OPTICS 2012; 17:016008. [PMID: 22352658 PMCID: PMC3380817 DOI: 10.1117/1.jbo.17.1.016008] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2011] [Revised: 11/06/2011] [Accepted: 11/15/2011] [Indexed: 05/18/2023]
Abstract
Fluorescence lifetime can be used as a contrast mechanism to distinguish fluorophores for localization or tracking, for studying molecular interactions, binding, assembly, and aggregation, or for observing conformational changes via Förster resonance energy transfer (FRET) between donor and acceptor molecules. Fluorescence lifetime imaging microscopy (FLIM) is thus a powerful technique but its widespread use has been hampered by demanding hardware and software requirements. FLIM data is often analyzed in terms of multicomponent fluorescence lifetime decays, which requires large signals for a good signal-to-noise ratio. This confines the approach to very low frame rates and limits the number of frames which can be acquired before bleaching the sample. Recently, a computationally efficient and intuitive graphical representation, the phasor approach, has been proposed as an alternative method for FLIM data analysis at the ensemble and single-molecule level. In this article, we illustrate the advantages of combining phasor analysis with a widefield time-resolved single photon-counting detector (the H33D detector) for FLIM applications. In particular we show that phasor analysis allows real-time subsecond identification of species by their lifetimes and rapid representation of their spatial distribution, thanks to the parallel acquisition of FLIM information over a wide field of view by the H33D detector. We also discuss possible improvements of the H33D detector's performance made possible by the simplicity of phasor analysis and its relaxed timing accuracy requirements compared to standard time-correlated single-photon counting (TCSPC) methods.
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Affiliation(s)
- Ryan A. Colyer
- UCLA, Department of Chemistry and Biochemistry, 607 Charles E. Young Drive East, Los Angeles, California
| | | | - Anton S. Tremsin
- Space Sciences Laboratory, UCB, 7 Gauss Way, Berkeley, California
| | - John V. Vallerga
- Space Sciences Laboratory, UCB, 7 Gauss Way, Berkeley, California
| | - Shimon Weiss
- UCLA, Department of Chemistry and Biochemistry, 607 Charles E. Young Drive East, Los Angeles, California
| | - Xavier Michalet
- UCLA, Department of Chemistry and Biochemistry, 607 Charles E. Young Drive East, Los Angeles, California
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FEREIDOUNI F, ESPOSITO A, BLAB G, GERRITSEN H. A modified phasor approach for analyzing time-gated fluorescence lifetime images. J Microsc 2011; 244:248-58. [DOI: 10.1111/j.1365-2818.2011.03533.x] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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50
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Stringari C, Cinquin A, Cinquin O, Digman MA, Donovan PJ, Gratton E. Phasor approach to fluorescence lifetime microscopy distinguishes different metabolic states of germ cells in a live tissue. Proc Natl Acad Sci U S A 2011. [PMID: 21808026 DOI: 10.1073/pnas.1108161108/-/dcsupplemental] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023] Open
Abstract
We describe a label-free imaging method to monitor stem-cell metabolism that discriminates different states of stem cells as they differentiate in living tissues. In this method we use intrinsic fluorescence biomarkers and the phasor approach to fluorescence lifetime imaging microscopy in conjunction with image segmentation, which we use to introduce the concept of the cell phasor. In live tissues we are able to identify intrinsic fluorophores, such as collagen, retinol, retinoic acid, porphyrin, flavins, and free and bound NADH. We have exploited the cell phasor approach to detect a trend in metabolite concentrations along the main axis of the Caenorhabditis elegans germ line. This trend is consistent with known changes in metabolic states during differentiation. The cell phasor approach to lifetime imaging provides a label-free, fit-free, and sensitive method to identify different metabolic states of cells during differentiation, to sense small changes in the redox state of cells, and may identify symmetric and asymmetric divisions and predict cell fate. Our method is a promising noninvasive optical tool for monitoring metabolic pathways during differentiation or disease progression, and for cell sorting in unlabeled tissues.
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Affiliation(s)
- Chiara Stringari
- Laboratory of Fluorescence Dynamics, Biomedical Engineering Department, University of California, Irvine, CA 92697, USA
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