Spectrally resolved time-correlated single photon counting: a novel approach for characterization of endogenous fluorescence in isolated cardiac myocytes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-10-11

AUTHORS

D. Chorvat, A. Chorvatova

ABSTRACT

A new setup for time-resolved fluorescence micro-spectroscopy of cells, based on multi-dimensional time-correlated single photon counting, was designed and tested. Here we demonstrate that the spectrometer allows fast and reproducible measurements of endogenous flavin fluorescence measured directly in living cardiac cells after excitation with visible picosecond laser diodes. Two complementary approaches for the analysis of spectrally- and time-resolved autofluorescence data are presented, comprising the fluorescence decay fitting by exponential series and the time-resolved emission spectroscopy analysis. In isolated cardiac myocytes, we observed three distinct lifetime pools with characteristic lifetime values spanning from picosecond to nanosecond range and the time-dependent red shift of the autofluorescence emission spectra. We compared obtained results to in vitro recordings of free flavin adenine dinucleotide (FAD) and FAD in lipoamide dehydrogenase (LipDH). The developed setup combines the strength of both spectral and fluorescence lifetime analysis and provides a solid base for the study of complex systems with intrinsic fluorescence, such as identification of the individual flavinoprotein components in living cardiac cells. This approach therefore constitutes an important instrumental advancement towards redox fluorimetry of living cardiomyocytes, with the perspective of its applications in the investigation of oxidative metabolic state under pathophysiological conditions, such as ischemia and/or metabolic disorders. More... »

PAGES

73-83

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00249-006-0104-4

DOI

http://dx.doi.org/10.1007/s00249-006-0104-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053722940

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17033778


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