Literature DB >> 17393496

Towards metabolic mapping of the human retina.

D Schweitzer1, S Schenke, M Hammer, F Schweitzer, S Jentsch, E Birckner, W Becker, A Bergmann.   

Abstract

Functional alterations are first signs of a starting pathological process. A device that measures parameter for the characterization of the metabolism at the human eye-ground would be a helpful tool for early diagnostics in stages when alterations are yet reversible. Measurements of blood flow and of oxygen saturation are necessary but not sufficient. The new technique of auto-fluorescence lifetime measurement (FLIM) opens in combination with selected excitation and emission ranges the possibility for metabolic mapping. FLIM not only adds an additional discrimination parameter to distinguish different fluorophores but also resolves different quenching states of the same fluorophore. Because of its high sensitivity and high temporal resolution, its capability to resolve multi-exponential decay functions, and its easy combination with laser scanner ophthalmoscopy, multi-dimensional time-correlated single photon counting was used for fundus imaging. An optimized set up for in vivo lifetime measurements at the human eye-ground will be explained. In this, the fundus fluorescence is excited at 446 or 468 nm and the time-resolved autofluorescence is detected in two spectral ranges between 510 and 560 nm as well as between 560 and 700 nm simultaneously. Exciting the fundus at 446 nm, several fluorescence maxima of lifetime t1 were detected between 100 and 220 ps in lifetime histograms of 40 degrees fundus images. In contrast, excitation at 468 nm results in a single maximum of lifetime t1 = 190 +/- 16 ps. Several fundus layers contribute to the fluorescence intensity in the short-wave emission range 510-560 nm. In contrast, the fluorescence intensity in the long-wave emission range between 560 and 700 nm is dominated by the fluorescence of lipofuscin in the retinal pigment epithelium. Comparing the lateral distribution of parameters of a tri-exponential model function in lifetime images of the fundus with the layered anatomical fundus structure, the shortest component (t1 = 190 ps) originates from the retinal pigment epithelium and the second lifetime (t2 = 1,000 ps) from the neural retina. The lifetime t3 approximately 5.5 ns might be influenced by the long decay of the fluorescence in the crystalline lens. In vitro analysis of the spectral properties of expected fluorophores under the condition of the living eye lightens the interpretation of in vivo measurements. Taking into account the transmission of the ocular media, the excitation of NADH is unlikely at the fundus. Copyright 2007 Wiley-Liss, Inc.

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Mesh:

Year:  2007        PMID: 17393496     DOI: 10.1002/jemt.20427

Source DB:  PubMed          Journal:  Microsc Res Tech        ISSN: 1059-910X            Impact factor:   2.769


  67 in total

Review 1.  Fluorescence lifetime measurements and biological imaging.

Authors:  Mikhail Y Berezin; Samuel Achilefu
Journal:  Chem Rev       Date:  2010-05-12       Impact factor: 60.622

2.  Enhancing precision in time-domain fluorescence lifetime imaging.

Authors:  Ching-Wei Chang; Mary-Ann Mycek
Journal:  J Biomed Opt       Date:  2010 Sep-Oct       Impact factor: 3.170

Review 3.  Fluorescence lifetime imaging microscopy in the medical sciences.

Authors:  René Ebrecht; Craig Don Paul; Fred S Wouters
Journal:  Protoplasma       Date:  2014-01-04       Impact factor: 3.356

4.  Multimodal instrument for high-sensitivity autofluorescence and spectral optical coherence tomography of the human eye fundus.

Authors:  Katarzyna Komar; Patrycjusz Stremplewski; Marta Motoczyńska; Maciej Szkulmowski; Maciej Wojtkowski
Journal:  Biomed Opt Express       Date:  2013-10-29       Impact factor: 3.732

Review 5.  [Functional disorders in the chronological progression of glaucoma].

Authors:  Carl Erb
Journal:  Ophthalmologe       Date:  2015-05       Impact factor: 1.059

6.  [Comparison of parameters of time-resolved autofluorescence between healthy subjects and patients suffering from early AMD].

Authors:  D Schweitzer; S Quick; S Schenke; M Klemm; S Gehlert; M Hammer; S Jentsch; J Fischer
Journal:  Ophthalmologe       Date:  2009-08       Impact factor: 1.059

7.  Label-free nonlinear optical imaging of mouse retina.

Authors:  Sicong He; Cong Ye; Qiqi Sun; Christopher K S Leung; Jianan Y Qu
Journal:  Biomed Opt Express       Date:  2015-02-26       Impact factor: 3.732

8.  Combination of confocal principle and aperture stop separation improves suppression of crystalline lens fluorescence in an eye model.

Authors:  Matthias Klemm; Johannes Blum; Dietmar Link; Martin Hammer; Jens Haueisen; Dietrich Schweitzer
Journal:  Biomed Opt Express       Date:  2016-08-01       Impact factor: 3.732

9.  Elimination of autofluorescence background from fluorescence tissue images by use of time-gated detection and the AzaDiOxaTriAngulenium (ADOTA) fluorophore.

Authors:  Ryan M Rich; Dorota L Stankowska; Badri P Maliwal; Thomas Just Sørensen; Bo W Laursen; Raghu R Krishnamoorthy; Zygmunt Gryczynski; Julian Borejdo; Ignacy Gryczynski; Rafal Fudala
Journal:  Anal Bioanal Chem       Date:  2012-12-20       Impact factor: 4.142

10.  Selective detection of NADPH oxidase in polymorphonuclear cells by means of NAD(P)H-based fluorescence lifetime imaging.

Authors:  R Niesner; P Narang; H Spiecker; V Andresen; K-H Gericke; M Gunzer
Journal:  J Biophys       Date:  2008-11-16
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