Literature DB >> 16292944

Multiphoton fluorescence lifetime contrast in deep tissue imaging: prospects in redox imaging and disease diagnosis.

V Krishnan Ramanujan1, Jian-Hua Zhang, Eva Biener, Brian Herman.   

Abstract

Turbid tissues pose serious problems of strong absorption and scattering that make steady state fluorescence imaging methods less successful in imaging tissue layers deeper than a few tens of micrometers. Complications arise as one progresses from imaging cells to tissues to whole animal--which include enormous autofluorescence background in tissues and poor signal from regions of interest. Since the steady state, intensity-based methods cannot discriminate the photons arising from the fluorophores and the autofluorescence background, it is almost impractical to isolate these two signals. We describe multiphoton fluorescence lifetime imaging methods in the time domain to demonstrate fluorescence lifetime contrast in discriminating autofluorescence background from the fluorescent signals. Since the photophysical schemes of the fluorophore and autofluorescence contributions are distinct, it is feasible to isolate these two contributions in every pixel based only on their decay constants without compromising the SNR. We present preliminary lifetime measurements to characterize autofluorescence in various cell lines and ex vivo tissues obtained from mouse models. Together, these results suggest a novel direction in obtaining quantitative information from endogenous tissue fluorescence without any exogenous staining. The prospects for this approach in metabolic redox imaging and disease diagnosis are discussed.

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Year:  2005        PMID: 16292944     DOI: 10.1117/1.2098753

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  24 in total

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5.  Metabolic imaging in multiple time scales.

Authors:  V Krishnan Ramanujan
Journal:  Methods       Date:  2013-09-04       Impact factor: 3.608

6.  Fluorescence analysis with quantum dot probes for hepatoma under one- and two-photon excitation.

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7.  Rapid Assessment of Mitochondrial Complex I Activity and Metabolic Phenotyping of Breast Cancer Cells by NAD(p)H Cytometry.

Authors:  V Krishnan Ramanujan
Journal:  Cytometry A       Date:  2018-12-11       Impact factor: 4.355

8.  Fluorescence lifetime imaging and reflectance confocal microscopy for multiscale imaging of oral precancer.

Authors:  Joey M Jabbour; Shuna Cheng; Bilal H Malik; Rodrigo Cuenca; Javier A Jo; John Wright; Yi-Shing Lisa Cheng; Kristen C Maitland
Journal:  J Biomed Opt       Date:  2013-04       Impact factor: 3.170

9.  Non-invasive, Contrast-enhanced Spectral Imaging of Breast Cancer Signatures in Preclinical Animal Models In vivo.

Authors:  V Krishnan Ramanujan; Songyang Ren; Sangyong Park; Daniel L Farkas
Journal:  J Cell Sci Ther       Date:  2010-10-02

10.  Pump-probe imaging differentiates melanoma from melanocytic nevi.

Authors:  Thomas E Matthews; Ivan R Piletic; M Angelica Selim; Mary Jane Simpson; Warren S Warren
Journal:  Sci Transl Med       Date:  2011-02-23       Impact factor: 17.956

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