Clifford Talbot
Imperial College London
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Publication
Featured researches published by Clifford Talbot.
Biophysical Journal | 2008
David M. Grant; Wei Zhang; Ewan J. McGhee; Tom D. Bunney; Clifford Talbot; Sunil Kumar; Ian Munro; Christopher Dunsby; Mark A. A. Neil; Matilda Katan; Paul M. W. French
We report what to our knowledge is a novel approach for simultaneous imaging of two different Förster resonance energy transfer (FRET) sensors in the same cell with minimal spectral cross talk. Previous methods based on spectral ratiometric imaging of the two FRET sensors have been limited by the availability of suitably bright acceptors for the second FRET pair and the spectral cross talk incurred when measuring in four spectral windows. In contrast to spectral ratiometric imaging, fluorescence lifetime imaging (FLIM) requires measurement of the donor fluorescence only and is independent of emission from the acceptor. By combining FLIM-FRET of the novel red-shifted TagRFP/mPlum FRET pair with spectral ratiometric imaging of an ECFP/Venus pair we were thus able to maximize the spectral separation between our chosen fluorophores while at the same time overcoming the low quantum yield of the far red acceptor mPlum. Using this technique, we could read out a TagRFP/mPlum intermolecular FRET sensor for reporting on small Ras GTP-ase activation in live cells after epidermal growth factor stimulation and an ECFP/Venus Cameleon FRET sensor for monitoring calcium transients within the same cells. The combination of spectral ratiometric imaging of ECFP/Venus and high-speed FLIM-FRET of TagRFP/mPlum can thus increase the spectral bandwidth available and provide robust imaging of multiple FRET sensors within the same cell. Furthermore, since FLIM does not require equal stoichiometries of donor and acceptor, this approach can be used to report on both unimolecular FRET biosensors and protein-protein interactions with the same cell.
PLOS ONE | 2013
Sean C. Warren; Anca Margineanu; Dominic Alibhai; Douglas J. Kelly; Clifford Talbot; Yuriy Alexandrov; Ian Munro; Matilda Katan; Christopher Dunsby; Paul M. W. French
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.
Optics Express | 2007
David M. Grant; J. McGinty; Ewan J. McGhee; Tom D. Bunney; Dylan M. Owen; Clifford Talbot; Wei Zhang; Sunil Kumar; Ian Munro; Peter M. P. Lanigan; Gordon T. Kennedy; Christopher Dunsby; Anthony I. Magee; Patrick Courtney; M. Katan; Mark A. A. Neil; Paul M. W. French
We present a time domain optically sectioned fluorescence lifetime imaging (FLIM) microscope developed for high-speed live cell imaging. This single photon excited system combines wide field parallel pixel detection with confocal sectioning utilizing spinning Nipkow disc microscopy. It can acquire fluorescence lifetime images of live cells at up to 10 frames per second (fps), permitting high-speed FLIM of cell dynamics and protein interactions with potential for high throughput cell imaging and screening applications. We demonstrate the application of this FLIM microscope to real-time monitoring of changes in lipid order in cell membranes following cholesterol depletion using cyclodextrin and to the activation of the small GTP-ase Ras in live cells using FRET.
ChemPhysChem | 2011
Sunil Kumar; Dominic Alibhai; Anca Margineanu; Romain Laine; Gordon T. Kennedy; James J McGinty; Sean C. Warren; Douglas J. Kelly; Yuriy Alexandrov; Ian Munro; Clifford Talbot; Daniel W. Stuckey; Christopher Kimberly; Bertrand Viellerobe; Francois Lacombe; Eric Lam; Harriet B. Taylor; Margaret J. Dallman; Gordon Stamp; Edward J. Murray; Frank Stuhmeier; Alessandro Sardini; Matilda Katan; Daniel S. Elson; Mark A. A. Neil; Christopher Dunsby; Paul M. W. French
A fluorescence lifetime imaging (FLIM) technology platform intended to read out changes in Förster resonance energy transfer (FRET) efficiency is presented for the study of protein interactions across the drug-discovery pipeline. FLIM provides a robust, inherently ratiometric imaging modality for drug discovery that could allow the same sensor constructs to be translated from automated cell-based assays through small transparent organisms such as zebrafish to mammals. To this end, an automated FLIM multiwell-plate reader is described for high content analysis of fixed and live cells, tomographic FLIM in zebrafish and FLIM FRET of live cells via confocal endomicroscopy. For cell-based assays, an exemplar application reading out protein aggregation using FLIM FRET is presented, and the potential for multiple simultaneous FLIM (FRET) readouts in microscopy is illustrated.
Optics Letters | 2007
Dylan M. Owen; Egidijus Auksorius; Hugh B. Manning; Clifford Talbot; Pieter A.A. De Beule; Christopher Dunsby; Mark A. A. Neil; Paul M. W. French
We present a time-gated, optically sectioned, hyperspectral fluorescence lifetime imaging (FLIM) microscope incorporating a tunable supercontinuum excitation source extending into the UV. The system is capable of resolving the excitation spectrum, emission spectrum, and fluorescence decays in an optically sectioned image.
PLOS ONE | 2012
Rakesh Patalay; Clifford Talbot; Yuriy Alexandrov; Martin O. Lenz; Sunil Kumar; Sean C. Warren; Ian Munro; Mark A. A. Neil; Karsten König; Paul M. W. French; A.C. Chu; Gordon Stamp; Christopher Dunsby
We present the first detailed study using multispectral multiphoton fluorescence lifetime imaging to differentiate basal cell carcinoma cells (BCCs) from normal keratinocytes. Images were acquired from 19 freshly excised BCCs and 27 samples of normal skin (in & ex vivo). Features from fluorescence lifetime images were used to discriminate BCCs with a sensitivity/specificity of 79%/93% respectively. A mosaic of BCC fluorescence lifetime images covering >1 mm2 is also presented, demonstrating the potential for tumour margin delineation. Using 10,462 manually segmented cells from the image data, we quantify the cellular morphology and spectroscopic differences between BCCs and normal skin for the first time. Statistically significant increases were found in the fluorescence lifetimes of cells from BCCs in all spectral channels, ranging from 19.9% (425–515 nm spectral emission) to 39.8% (620–655 nm emission). A discriminant analysis based diagnostic algorithm allowed the fraction of cells classified as malignant to be calculated for each patient. This yielded a receiver operator characteristic area under the curve for the detection of BCC of 0.83. We have used both morphological and spectroscopic parameters to discriminate BCC from normal skin, and provide a comprehensive base for how this technique could be used for BCC assessment in clinical practice.
Journal of Biophotonics | 2008
Clifford Talbot; James McGinty; David M. Grant; Ewan J. McGhee; Dylan M. Owen; Wei Zhang; Tom D. Bunney; Ian Munro; Beverly Isherwood; Rob Eagle; Andre Hargreaves; Christopher Dunsby; Mark A. A. Neil; Paul M. W. French
We report an automated optically sectioning fluorescence lifetime imaging (FLIM) multiwell plate reader for high content analysis (HCA) in drug discovery and accelerated research in cell biology. The system utilizes a Nipkow disc confocal microscope and performs unsupervised FLIM with autofocus, automatic setting of acquisition parameters and automated localisation of cells in the field of view. We demonstrate its applications to test dye solutions, fixed and live cells and FLIM-FRET.
Skin Research and Technology | 2011
E. Benati; Valerio Bellini; Stefania Borsari; Christopher Dunsby; Chiara Ferrari; Paul M. W. French; Mario Guanti; Davide Guardoli; Karsten Koenig; Giovanni Pellacani; Giovanni Ponti; Simona Schianchi; Clifford Talbot; Stefania Seidenari
Background/purpose: Multiphoton microscopy (MPM) enables the assessment of unstained living biological tissue with submicron resolution, whereas fluorescence lifetime imaging microscopy (FLIM) generates image contrast between different states of tissue characterized by various fluorescence decay rates. The aim of this study was to compare the healthy skin of young individuals with that of older subjects, as well as to assess the skin at different body sites, by means of MPM and FLIM.
Journal of Biophotonics | 2008
James McGinty; Khadija B. Tahir; Romain Laine; Clifford Talbot; Christopher Dunsby; Mark A. A. Neil; Laura Quintana; James Swoger; James Sharpe; Paul M. W. French
We describe a quantitative fluorescence projection tomography technique which measures the 3-D fluorescence lifetime distribution in optically cleared specimens up 1 cm in diameter. This is achieved by acquiring a series of wide-field time-gated images at different relative time delays with respect to a train of excitation pulses, at a number of projection angles. For each time delay, the 3-D time-gated intensity distribution is reconstructed using a filtered back projection algorithm and the fluorescence lifetime subsequently determined for each reconstructed horizontal plane by iterative fitting to a mono-exponential decay. Due to its inherently ratiometric nature, fluorescence lifetime is robust against intensity based artefacts as well as producing a quantitative measure of the fluorescence signal. We present a 3-D fluorescence lifetime reconstruction of a mouse embryo labelled with an alexa-488 conjugated antibody targeted to the neurofilament, which clearly differentiates between the extrinsic label and the autofluorescence, particularly from the heart and dorsal aorta.
PLOS ONE | 2013
Stefania Seidenari; Federica Arginelli; Christopher Dunsby; Paul M. W. French; Karsten König; Cristina Magnoni; Clifford Talbot; Giovanni Ponti
Multiphoton laser tomography (MPT) combined with fluorescence lifetime imaging (FLIM) is a non-invasive imaging technique, based on the study of fluorescence decay times of naturally occurring fluorescent molecules, enabling a non-invasive investigation of the skin with subcellular resolution. The aim of this retrospective observational ex vivo study, was to characterize melanoma both from a morphologic and a quantitative point of view, attaining an improvement in the diagnostic accuracy with respect to dermoscopy. In the training phase, thirty parameters, comprising both cytological descriptors and architectural aspects, were identified. The training set included 6 melanomas with a mean Breslow thickness±S.D. of 0.89±0.48 mm. In the test phase, these parameters were blindly evaluated on a test data set consisting of 25 melanomas, 50 nevi and 50 basal cell carcinomas. Melanomas in the test phase comprised 8 in situ lesions and had a mean thickness±S.D. of 0.77±1.2 mm. Moreover, quantitative FLIM data were calculated for special areas of interest. Melanoma was characterized by the presence of atypical short lifetime cells and architectural disorder, in contrast to nevi presenting typical cells and a regular histoarchitecture. Sensitivity and specificity values for melanoma diagnosis were 100% and 98%, respectively, whereas dermoscopy achieved the same sensitivity, but a lower specificity (82%). Mean fluorescence lifetime values of melanocytic cells did not vary between melanomas and nevi, but significantly differed from those referring to basal cell carcinoma enabling a differential diagnosis based on quantitative data. Data from prospective preoperative trials are needed to confirm if MPT/FLIM could increase diagnostic specificity and thus reduce unnecessary surgical excisions.