Literature DB >> 15611954

Functional optical detection based on pH dependent fluorescence lifetime.

Israel Gannot1, Izhar Ron, Farid Hekmat, Victor Chernomordik, Amir Gandjbakhche.   

Abstract

BACKGROUND AND OBJECTIVES: Detection of possible alterations of physiological parameters (e.g., pH and temperature), resulting from malignant transformation of initially healthy tissue, can be a powerful diagnostic tool for earlier cancer detection. Such variations can be observed by comparing these parameters with those of healthy tissue surrounding the abnormality. Time-resolved spectroscopy of specifically targeted fluorescent labeled antibodies can be sensitive to such variations and provide a high resolution functional image of the region of interest. The goal of this study was to establish a forward experimental setup for calibration of the lifetime dependencies of near-IR fluorescent dyes on physiological parameters, and to develop analytical solutions, taking into account the effects of light propagation in turbid media (e.g., tissue), that was able to extract an original lifetime fluorescence signal from time-of-flight intensity distributions, measured in vivo from a deeply embedded live organ for further analysis. STUDY DESIGN/
MATERIALS AND METHODS: Tissue-like phantoms with embedded fluorescent dyes and background optical properties simulating those of live tissues were designed and created. Fluorescence decay curves were measured for different fluorophore positions, and pH values. Those measurements were made with a system based on a time-correlated single photon counting (TCSPC) instrument and a tunable femtosecond Ti-Sapphire system built by our group.
RESULTS: Decay curves were recorded for fluorophore depths of up to 5 mm and source-detector separation of 7 mm. It was shown that a forward model, based on the random walk theory, adequately described the experimental data. Measured pH dependencies of the fluorescence lifetime were characterized for two different dyes.
CONCLUSIONS: Good correlation between experimental data and predictions of the theoretical model allows the use of close-form analytical solutions to separate the effects of photon time delays due to multiple scattering in tissues from the original intensity fluorescence time decay curve, determined by the fluorophore itself and its immediate surroundings. It is the latter dependence that can be diagnostically important. Experimentally obtained scaling between lifetime and a parameter of interest can be used in vivo to obtain a map of physiological parameter changes which can serve as a base for an in vivo specific diagnostic system. (c) 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15611954     DOI: 10.1002/lsm.20101

Source DB:  PubMed          Journal:  Lasers Surg Med        ISSN: 0196-8092            Impact factor:   4.025


  13 in total

Review 1.  Using in-vivo fluorescence imaging in personalized cancer diagnostics and therapy, an image and treat paradigm.

Authors:  Y Ardeshirpour; V Chernomordik; J Capala; M Hassan; R Zielinsky; G Griffiths; S Achilefu; P Smith; A Gandjbakhche
Journal:  Technol Cancer Res Treat       Date:  2011-12

2.  Mean time-of-flight of photons in transillumination measurements of optically anisotropic tissue with an inclusion.

Authors:  Olga K Dudko; George H Weiss; Victor Chernomordik
Journal:  Phys Med Biol       Date:  2006-09-04       Impact factor: 3.609

3.  A CTRW-based model of time-resolved fluorescence lifetime imaging in a turbid medium.

Authors:  Victor Chernomordik; Amir H Gandjbakhche; Moinuddin Hassan; Sinisa Pajevic; George H Weiss
Journal:  Opt Commun       Date:  2010-12-01       Impact factor: 2.310

4.  Fluorescence lifetime imaging system for in vivo studies.

Authors:  Moinuddin Hassan; Jason Riley; Victor Chernomordik; Paul Smith; Randall Pursley; Sang Bong Lee; Jacek Capala; Amir H Gandjbakhche
Journal:  Mol Imaging       Date:  2007 Jul-Aug       Impact factor: 4.488

5.  Fluorescence lifetime imaging of endogenous fluorophores in histopathology sections reveals differences between normal and tumor epithelium in carcinoma in situ of the breast.

Authors:  Matthew W Conklin; Paolo P Provenzano; Kevin W Eliceiri; Ruth Sullivan; Patricia J Keely
Journal:  Cell Biochem Biophys       Date:  2009       Impact factor: 2.194

6.  Fluorescence lifetime imaging of activatable target specific molecular probes.

Authors:  Raphael Alford; Mikako Ogawa; Moinuddin Hassan; Amir H Gandjbakhche; Peter L Choyke; Hisataka Kobayashi
Journal:  Contrast Media Mol Imaging       Date:  2010 Jan-Feb       Impact factor: 3.161

7.  Disposable fluorescence optical pH sensor for near neutral solutions.

Authors:  Luca Ferrari; Luigi Rovati; Paola Fabbri; Francesco Pilati
Journal:  Sensors (Basel)       Date:  2012-12-28       Impact factor: 3.576

8.  Single molecule in vivo analysis of toll-like receptor 9 and CpG DNA interaction.

Authors:  Jiji Chen; Suman Nag; Pierre-Alexandre Vidi; Joseph Irudayaraj
Journal:  PLoS One       Date:  2011-04-04       Impact factor: 3.240

9.  In vivo fluorescence lifetime imaging monitors binding of specific probes to cancer biomarkers.

Authors:  Yasaman Ardeshirpour; Victor Chernomordik; Rafal Zielinski; Jacek Capala; Gary Griffiths; Olga Vasalatiy; Aleksandr V Smirnov; Jay R Knutson; Ilya Lyakhov; Samuel Achilefu; Amir Gandjbakhche; Moinuddin Hassan
Journal:  PLoS One       Date:  2012-02-23       Impact factor: 3.240

10.  High-performance image reconstruction in fluorescence tomography on desktop computers and graphics hardware.

Authors:  Manuel Freiberger; Herbert Egger; Manfred Liebmann; Hermann Scharfetter
Journal:  Biomed Opt Express       Date:  2011-10-28       Impact factor: 3.732

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